From 625eabe4fe96c9276fc799d776c521128e5eb4d2 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 25 Nov 2024 16:10:41 +0000
Subject: [PATCH 01/51] Update package flowchart

---
 .../package_structure_flowchart/flowchart.png | Bin 31985 -> 35703 bytes
 .../flowchart.pptx                            | Bin 256672 -> 257712 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/docs/images/package_structure_flowchart/flowchart.png b/docs/images/package_structure_flowchart/flowchart.png
index dad2eb0ce66c504e210ba59a5c845060b8b3ca8f..0cf9143dd19119f648ada4ff3aa4b5a7597d4b9c 100644
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diff --git a/docs/images/package_structure_flowchart/flowchart.pptx b/docs/images/package_structure_flowchart/flowchart.pptx
index 8ca0b158561c155a827bfa9fdbd7cc546441b636..509a36310d0669844377e4b1067ba40a3f8153aa 100644
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From a39b4646dd586360622bcef6aa92a2bf7e1224ac Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 25 Nov 2024 16:11:00 +0000
Subject: [PATCH 02/51] Update user guide landing page

---
 docs/user_guide/index.rst | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst
index 08f8a50..37179b1 100644
--- a/docs/user_guide/index.rst
+++ b/docs/user_guide/index.rst
@@ -18,18 +18,24 @@ Package structure
 The package has several module that allow you to:
 
 * Load cyclone tracks (`load`);
-* Add information to your tracks (`info`);
 * Subset (`subset`) and interpolate (`interp`) the tracks;
-* Compute standard diagnostic metrics  (`calc`);
+* Add information to your tracks (`info`);
+* Compute standard diagnostic metrics (`calc`);
 * Make simple plots (`plot`);
 * Compare several datasets between them (`assess`).
 
+It also have a TC-specific module (`tc`) which contains functions for ACE (Accumulated Cyclonic Energy) and specific categories used for tropical cyclones.
+
 The flowchart below illustrates this structure. The present user guide details how to use each of these modules.
 
 .. image:: ../images/package_structure_flowchart/flowchart.png
   :width: 1000
   :alt: Alternative text
 
+xarray accessor
+---------------
+
+The package also defines a `.hrcn` xarray accessor, which allow you to call most of the functions as methods on the dataset itself. 
 
 
 .. toctree::

From d90de7f41a9c8536a55eddad81e4fee57d361e1b Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 25 Nov 2024 16:39:28 +0000
Subject: [PATCH 03/51] Add label for cross-referencing

---
 docs/api/assess.rst    | 2 ++
 docs/api/calc.rst      | 2 ++
 docs/api/huracanpy.rst | 2 ++
 docs/api/index.rst     | 2 ++
 docs/api/info.rst      | 2 ++
 docs/api/plot.rst      | 2 ++
 docs/api/tc.rst        | 2 ++
 7 files changed, 14 insertions(+)

diff --git a/docs/api/assess.rst b/docs/api/assess.rst
index 9340504..8702e36 100644
--- a/docs/api/assess.rst
+++ b/docs/api/assess.rst
@@ -1,3 +1,5 @@
+.. _api-assess:
+
 assess
 ======
 
diff --git a/docs/api/calc.rst b/docs/api/calc.rst
index 1a51b2e..7f1fa05 100644
--- a/docs/api/calc.rst
+++ b/docs/api/calc.rst
@@ -1,3 +1,5 @@
+.. _api-calc:
+
 calc
 ====
 
diff --git a/docs/api/huracanpy.rst b/docs/api/huracanpy.rst
index 572733a..e1241ee 100644
--- a/docs/api/huracanpy.rst
+++ b/docs/api/huracanpy.rst
@@ -1,3 +1,5 @@
+.. _api-core:
+
 huracanpy
 =========
 
diff --git a/docs/api/index.rst b/docs/api/index.rst
index d570ef7..c694e83 100644
--- a/docs/api/index.rst
+++ b/docs/api/index.rst
@@ -1,3 +1,5 @@
+.. _api-index:
+
 API
 ===
 
diff --git a/docs/api/info.rst b/docs/api/info.rst
index c819d06..6b4442f 100644
--- a/docs/api/info.rst
+++ b/docs/api/info.rst
@@ -1,3 +1,5 @@
+.. _api-info:
+
 info
 ====
 
diff --git a/docs/api/plot.rst b/docs/api/plot.rst
index 12da9c5..d94cbfa 100644
--- a/docs/api/plot.rst
+++ b/docs/api/plot.rst
@@ -1,3 +1,5 @@
+.. _api-plot:
+
 plot
 ====
 
diff --git a/docs/api/tc.rst b/docs/api/tc.rst
index 1749db0..55b84d2 100644
--- a/docs/api/tc.rst
+++ b/docs/api/tc.rst
@@ -1,3 +1,5 @@
+.. _api-tc:
+
 tc
 ==
 

From da7dcedd5eded17ac9ea659eac3bc11c71832c59 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 25 Nov 2024 16:39:52 +0000
Subject: [PATCH 04/51] Modify main title

---
 docs/user_guide/load.ipynb | 2 +-
 docs/user_guide/save.ipynb | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/user_guide/load.ipynb b/docs/user_guide/load.ipynb
index 9e7b574..3dfe5ca 100644
--- a/docs/user_guide/load.ipynb
+++ b/docs/user_guide/load.ipynb
@@ -5,7 +5,7 @@
    "id": "654a7e7d-0d37-48dd-9738-4c20c510ad8e",
    "metadata": {},
    "source": [
-    "# Loading tracks with `huracanpy.load`\n",
+    "# Loading tracks from a file or IBTrACS\n",
     "\n",
     "One of the main motivations for HuracanPy was to provide a common tool to load the tracks that come from different sources with various incompatible formats.\n",
     "\n",
diff --git a/docs/user_guide/save.ipynb b/docs/user_guide/save.ipynb
index 94f6307..1d57a67 100644
--- a/docs/user_guide/save.ipynb
+++ b/docs/user_guide/save.ipynb
@@ -5,7 +5,7 @@
    "id": "9ecdf569-bb65-49ce-b269-00a8f6b2ec2a",
    "metadata": {},
    "source": [
-    "# Saving tracks with `huracanpy.save`\n",
+    "# Saving tracks\n",
     "\n",
     "`huracanpy.save` supports saving data as CSV or NetCDF which is detected by the file\n",
     "extension.\n",

From 5ffd8f7cc78900651d77a801c50d6eb3bc5b19d0 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 25 Nov 2024 16:40:10 +0000
Subject: [PATCH 05/51] Remove user guide pages for module where a link to API
 is dufficient

---
 docs/user_guide/assess.ipynb |  41 -------
 docs/user_guide/calc.ipynb   |  41 -------
 docs/user_guide/index.rst    |  24 ++--
 docs/user_guide/info.ipynb   | 218 -----------------------------------
 docs/user_guide/plot.ipynb   |  41 -------
 5 files changed, 10 insertions(+), 355 deletions(-)
 delete mode 100644 docs/user_guide/assess.ipynb
 delete mode 100644 docs/user_guide/calc.ipynb
 delete mode 100644 docs/user_guide/info.ipynb
 delete mode 100644 docs/user_guide/plot.ipynb

diff --git a/docs/user_guide/assess.ipynb b/docs/user_guide/assess.ipynb
deleted file mode 100644
index 74722a1..0000000
--- a/docs/user_guide/assess.ipynb
+++ /dev/null
@@ -1,41 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "a907caff-60fb-4bdf-857e-2830e0bf6bfb",
-   "metadata": {},
-   "source": [
-    "# `assess`: Compare track datasets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "84437d0c-98c4-42b8-bc6a-6bccfcee6928",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/user_guide/calc.ipynb b/docs/user_guide/calc.ipynb
deleted file mode 100644
index bcd1a69..0000000
--- a/docs/user_guide/calc.ipynb
+++ /dev/null
@@ -1,41 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "480ac4cf-d3a1-4dda-acf9-3ea661cb7443",
-   "metadata": {},
-   "source": [
-    "# `calc`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5e58b5d7-29cd-43e9-bf77-9ab368a04466",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst
index 37179b1..c26723f 100644
--- a/docs/user_guide/index.rst
+++ b/docs/user_guide/index.rst
@@ -15,25 +15,25 @@ We recommend you get familiar with xarray to make the most of this package (http
 Package structure
 -----------------
 
-The package has several module that allow you to:
+The package has several modules that allow you to:
 
-* Load cyclone tracks (`load`);
-* Subset (`subset`) and interpolate (`interp`) the tracks;
-* Add information to your tracks (`info`);
-* Compute standard diagnostic metrics (`calc`);
-* Make simple plots (`plot`);
-* Compare several datasets between them (`assess`).
+* Load  and save cyclone tracks;
+* Subset and interpolate the tracks;
+* Add information to your tracks (:ref:`api-info`);
+* Compute standard diagnostic metrics (:ref:`api-calc`);
+* Make simple plots (:ref:`api-plot`);
+* Compare several datasets between them (:ref:`api-assess`).
 
-It also have a TC-specific module (`tc`) which contains functions for ACE (Accumulated Cyclonic Energy) and specific categories used for tropical cyclones.
+It also module containing TC-specific functions (:ref:`api-tc`). 
 
-The flowchart below illustrates this structure. The present user guide details how to use each of these modules.
+The flowchart below illustrates this structure. The functions in each module are listed in the :ref:`api-index`.
 
 .. image:: ../images/package_structure_flowchart/flowchart.png
   :width: 1000
   :alt: Alternative text
 
 xarray accessor
----------------
+~~~~~~~~~~~~~~~
 
 The package also defines a `.hrcn` xarray accessor, which allow you to call most of the functions as methods on the dataset itself. 
 
@@ -47,12 +47,8 @@ The package also defines a `.hrcn` xarray accessor, which allow you to call most
     demo
     load
     save
-    info
     subset
     interp
-    calc
     tc
-    plot
-    assess
     speed
     accessor
\ No newline at end of file
diff --git a/docs/user_guide/info.ipynb b/docs/user_guide/info.ipynb
deleted file mode 100644
index e617f8e..0000000
--- a/docs/user_guide/info.ipynb
+++ /dev/null
@@ -1,218 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "ade0d15b-68d9-423f-9ad0-95a76371c941",
-   "metadata": {},
-   "source": [
-    "# Add info to your tracks"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c346e4df-4241-42e3-a022-9b5ca71fbe9b",
-   "metadata": {},
-   "source": [
-    "The `info` module contains function that help you add metadata to your tracks. In particular, it helps adding information related to geography, time and category. \n",
-    "\n",
-    "All of `info` functions return xarray.DataArray objects, with a record the same length as the input data."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "88b23cc5-bbe2-4b51-8b28-fbab4601516b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import huracanpy\n",
-    "\n",
-    "# Load sample data to illustrate\n",
-    "data = huracanpy.load(huracanpy.example_year_file)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6fa95768-0348-4637-bc48-f476d44d2333",
-   "metadata": {},
-   "source": [
-    "## Functions versus accessor methods\n",
-    "\n",
-    "All of `info` functions have accessor `get_` and `add_` counterparts. It means you can call them with `dataset.hrcn.get_x(varnames)`, and you can add the result to the dataset directly. This is illustrated below"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e608224a-517f-4068-9179-09cc2ba8063a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get the info: Two equvalent ways\n",
-    "huracanpy.info.hemisphere(data.lat)  # Function call\n",
-    "data.hrcn.get_hemisphere(lat_name=\"lat\")  # Accessor method"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "89da1ae3-9521-4429-aeed-6f6a8809f00c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Add the info: Two equvalent ways\n",
-    "data[\"hemisphere\"] = huracanpy.info.hemisphere(data.lat)\n",
-    "data = data.hrcn.add_hemisphere(lat_name=\"lat\")\n",
-    "\n",
-    "data  # data now includes hemisphere"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c70c2065-b569-4643-951d-c4e81c81904e",
-   "metadata": {},
-   "source": [
-    "## Geography\n",
-    "In terms of geographic information, huracanpy allows to add hemisphere, basin, land-or-ocean, continent and country."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ddc6cbd5-51cf-4a71-ae0a-6c44f9a14e05",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Hemisphere\n",
-    "huracanpy.info.hemisphere(data.lat)  # Function\n",
-    "data.hrcn.get_hemisphere(\"lat\")  # Accessor method"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12938a41-16e9-4af3-a46c-8ac86057966a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Basin\n",
-    "huracanpy.info.basin(data.lon, data.lat)  # Function\n",
-    "data.hrcn.get_basin(\"lon\", \"lat\")  # Accessor method"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7e922e89-f926-4ccd-a38d-7742625e53bb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# land or ocean\n",
-    "huracanpy.info.is_ocean(data.lon, data.lat)  # Function\n",
-    "data.hrcn.get_is_ocean(\"lon\", \"lat\")  # Accessor method"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c1296136-53fb-492a-9a76-827ebdd6739e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Continent: If track is over land, return the corresponding continent, else ''\n",
-    "huracanpy.info.continent(data.lon, data.lat)  # Function\n",
-    "data.hrcn.get_continent(\"lon\", \"lat\")  # Accessor method"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "aba02d62-8c64-4eeb-9809-094769d88d01",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Country: If track is over land, return the corresponding country, else ''\n",
-    "huracanpy.info.country(data.lon, data.lat)  # Function\n",
-    "data.hrcn.get_country(\"lon\", \"lat\")  # Accessor method"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cbe1e1bf-b419-4c3d-a33e-c1367d64e4db",
-   "metadata": {},
-   "source": [
-    "## Time\n",
-    "`get_time_components` allows to decompose the time variable into its components."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7b2da1a7-36a8-4090-812c-8079ea0fb02f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get the values\n",
-    "huracanpy.info.time_components(data.time)  # Function\n",
-    "data.hrcn.get_time_components(\"time\")  # Accessor method"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "501a35b1-de27-48a9-88e8-0cfc396af72a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Add them\n",
-    "data[\"year\"], data[\"month\"], data[\"day\"], data[\"hour\"] = huracanpy.info.time_components(\n",
-    "    data.time\n",
-    ")\n",
-    "data = data.hrcn.add_time_components(\"time\")\n",
-    "\n",
-    "data  # Now contains year, month, day, hour"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b29f4ffc-7daa-4468-aac3-368c3b2039e3",
-   "metadata": {},
-   "source": [
-    "## Category\n",
-    "\n",
-    "With `get_category` you can add category labels based on bins of a given variable."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ba627be6-6378-4eb9-b9a9-4abe24534537",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "huracanpy.info.category(data.wind10, bins=[0, 10, 20, 30, 40], labels=[0, 1, 2, 3])"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/user_guide/plot.ipynb b/docs/user_guide/plot.ipynb
deleted file mode 100644
index d51de9d..0000000
--- a/docs/user_guide/plot.ipynb
+++ /dev/null
@@ -1,41 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "e5e33a17-4c1f-4073-9632-94a21f47537d",
-   "metadata": {},
-   "source": [
-    "# `plot`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ce60eceb-8aa0-4113-a366-88a492c5d171",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

From f3d53d5e403efe2742532dd6cacd48cd02e849ac Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 25 Nov 2024 16:43:36 +0000
Subject: [PATCH 06/51] Remove interpolation user guide page

---
 docs/user_guide/index.rst | 1 -
 1 file changed, 1 deletion(-)

diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst
index c26723f..933a205 100644
--- a/docs/user_guide/index.rst
+++ b/docs/user_guide/index.rst
@@ -48,7 +48,6 @@ The package also defines a `.hrcn` xarray accessor, which allow you to call most
     load
     save
     subset
-    interp
     tc
     speed
     accessor
\ No newline at end of file

From df06be5fdf876290dadb6cac572738e284b7441e Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 25 Nov 2024 16:44:34 +0000
Subject: [PATCH 07/51] Remove TC user guide page

---
 docs/user_guide/interp.ipynb | 41 ------------------------------------
 docs/user_guide/tc.ipynb     | 41 ------------------------------------
 2 files changed, 82 deletions(-)
 delete mode 100644 docs/user_guide/interp.ipynb
 delete mode 100644 docs/user_guide/tc.ipynb

diff --git a/docs/user_guide/interp.ipynb b/docs/user_guide/interp.ipynb
deleted file mode 100644
index 10cd10c..0000000
--- a/docs/user_guide/interp.ipynb
+++ /dev/null
@@ -1,41 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "24273a07-0f1e-46be-ae23-963a5744dab9",
-   "metadata": {},
-   "source": [
-    "# Interpolation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "80429079-7b3d-4425-b96d-782c8fb58cc2",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/user_guide/tc.ipynb b/docs/user_guide/tc.ipynb
deleted file mode 100644
index b0484e4..0000000
--- a/docs/user_guide/tc.ipynb
+++ /dev/null
@@ -1,41 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "a0954acd-e73a-46cb-baad-fae9997cbb6d",
-   "metadata": {},
-   "source": [
-    "# Tropical Cyclone specific functions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8ca57081-55fc-43af-8de1-1f5fd879b263",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

From 5328cde3a9e31a3164494242e820e3baf2cc6fc0 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 25 Nov 2024 16:47:25 +0000
Subject: [PATCH 08/51] Remove accesor user guide page

---
 docs/user_guide/accessor.ipynb | 41 ----------------------------------
 docs/user_guide/index.rst      |  5 ++---
 2 files changed, 2 insertions(+), 44 deletions(-)
 delete mode 100644 docs/user_guide/accessor.ipynb

diff --git a/docs/user_guide/accessor.ipynb b/docs/user_guide/accessor.ipynb
deleted file mode 100644
index 582ca8d..0000000
--- a/docs/user_guide/accessor.ipynb
+++ /dev/null
@@ -1,41 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "c3db0b46-63fc-4abb-a900-bbeb4678e0ea",
-   "metadata": {},
-   "source": [
-    "# HuracanPy's `hrcn` Accessor"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cffa70d6-52c2-474c-86f0-652b206f9bc4",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst
index 933a205..adf8308 100644
--- a/docs/user_guide/index.rst
+++ b/docs/user_guide/index.rst
@@ -48,6 +48,5 @@ The package also defines a `.hrcn` xarray accessor, which allow you to call most
     load
     save
     subset
-    tc
-    speed
-    accessor
\ No newline at end of file
+..  hidden at the moment
+    speed
\ No newline at end of file

From 7daa390e808ccd1e849c916967b6542df54a4336 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Tue, 26 Nov 2024 10:38:42 +0000
Subject: [PATCH 09/51] Update docstring

---
 huracanpy/_data/_load.py | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/huracanpy/_data/_load.py b/huracanpy/_data/_load.py
index c86b815..642b70b 100644
--- a/huracanpy/_data/_load.py
+++ b/huracanpy/_data/_load.py
@@ -67,7 +67,7 @@ def load(
           variables
 
     rename : dict, optional
-        A mapping of variable names to rename. Defaults are
+        A mapping of variable names to rename (for netCDF files only). Defaults are
 
         * longitude -> lon
         * latitude -> lat
@@ -78,12 +78,14 @@ def load(
 
     units : dict, optional
         A mapping of variable names to units
+        
+        >>> tracks = huracanpy.load(..., units=dict(vorticity="s**-1", slp="hPa"))
 
     baselon : scalar, optional
         Force the loaded longitudes into the range (baselon, baselon + 360). e.g.
         (0, 360) or (-180, 180)
     ibtracs_subset : str, default="wmo"
-        IBTrACS subset. When loading offline data it is one of
+        IBTrACS subset. Two offline versions are available:
 
         * **wmo**: Data with the wmo_* variables. The data as reported by the WMO agency
           responsible for each basin, so methods are not consistent across basins
@@ -91,8 +93,7 @@ def load(
           the USA/Joint Typhoon Warning Centre. Methods are consistent across basins,
           but may not be complete.
 
-        If you are downloading the online data, the subsets are the different files
-        provided by IBTrACS
+        To download online data, the subsets are the different filesp rovided by IBTrACS.
 
         * **ACTIVE**: TCs currently active
         * **ALL**: Entire IBTrACS database
@@ -101,7 +102,7 @@ def load(
         * **since1980**: Entire IBTrACS database since 1980 (advent of satellite era,
           considered reliable from then on)
 
-    tempest_extremes_unstructured : bool, default=False,
+    tempest_extremes_unstructured : bool, default=False
         By default the first two columns in TempestExtremes files are the i, j indices
         of the closest gridpoint, but for unstructured grids it is a single lookup index
         so there is one less column

From 1589600fd57b40863dd8fc7ff6c51029db8ed00c Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Tue, 26 Nov 2024 10:48:00 +0000
Subject: [PATCH 10/51] Update trackwhere docstring

---
 huracanpy/_subset.py | 18 +++++++++++++-----
 1 file changed, 13 insertions(+), 5 deletions(-)

diff --git a/huracanpy/_subset.py b/huracanpy/_subset.py
index ab8b57b..6431702 100644
--- a/huracanpy/_subset.py
+++ b/huracanpy/_subset.py
@@ -31,15 +31,23 @@ def sel_id(tracks, track_ids, track_id):
 
 
 def trackswhere(tracks, track_ids, condition):
-    """Subset tracks from the input
-
-    e.g select all tracks that are solely in the Northern hemisphere
-    >>> tracks_subset = huracanpy.trackswhere(tracks, lambda x: (x.lat > 0).all())
-
+    """Subset tracks that verify a condition.
+
+    e.g select all tracks that are solely in the Northern hemisphere:
+        
+    >>> tracks_subset = huracanpy.trackswhere(tracks, tracks.track_id, lambda x: (x.lat > 0).all())
+    
+    e.g. select all tracks that are category 2 at least once in their lifetime:
+        
+    >>> track_subset = huracanpy.trackswhere(
+        tracks, tracks.track_id, lambda track: track.pressure_category.max() >= 2
+        )
+    
     Parameters
     ----------
     tracks : xarray.Dataset
     track_ids : xarray.DataArray
+        The track_ids corresponding to the tracks Dataset
     condition : callable
         A function that takes an `xarray.Dataset` of an individual track and returns
         True or False

From 1bf00022f78cefba3b1971f2c0b723527d1f24c3 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Tue, 26 Nov 2024 10:57:33 +0000
Subject: [PATCH 11/51] update docstrings

---
 huracanpy/info/_geography.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/huracanpy/info/_geography.py b/huracanpy/info/_geography.py
index 1bc5ed8..522fc9c 100644
--- a/huracanpy/info/_geography.py
+++ b/huracanpy/info/_geography.py
@@ -19,7 +19,7 @@
 @preprocess_and_wrap(wrap_like="lat")
 def hemisphere(lat):
     """
-    Function to detect which hemisphere each point corresponds to
+    Function to detect which hemisphere each point corresponds to.
 
     Parameters
     ----------
@@ -29,7 +29,9 @@ def hemisphere(lat):
     -------
     xarray.DataArray
         The hemisphere series.
-        You can append it to your tracks by running tracks["hemisphere"] = get_hemisphere(tracks)
+        You can append it to your tracks by running 
+
+        >>> tracks["hemisphere"] = get_hemisphere(tracks.lat)
     """
 
     return np.where(lat >= 0, "N", "S")
@@ -46,7 +48,7 @@ def basin(lon, lat, convention="WMO-TC", crs=None):
     lat : xarray.DataArray
         Latitude series
     convention : str
-        Name of the basin convention you want to use.
+        Name of the basin convention you want to use
             * WMO
     crs : cartopy.crs.CRS, optional
         The coordinate reference system of the lon, lat inputs. The basins are defined

From c8dc0610f30daa7ca439eb5e3a50cd5f7cccf3d6 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Tue, 26 Nov 2024 11:01:07 +0000
Subject: [PATCH 12/51] Update season docstring

---
 huracanpy/info/_category.py | 2 ++
 huracanpy/info/_time.py     | 6 ++++--
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/huracanpy/info/_category.py b/huracanpy/info/_category.py
index 8d8d1eb..f7a664a 100644
--- a/huracanpy/info/_category.py
+++ b/huracanpy/info/_category.py
@@ -15,6 +15,8 @@
 @preprocess_and_wrap(wrap_like="variable")
 def category(variable, bins, labels=None, variable_units=None):
     """Calculate a generic category from a variable and a set of thresholds
+    
+    >>> huracanpy.info.category(tracks.wind, bins = [0,10,20,30], labels = [1,2,3])
 
     Parameters
     ----------
diff --git a/huracanpy/info/_time.py b/huracanpy/info/_time.py
index 3ae8a0f..a39a2a2 100644
--- a/huracanpy/info/_time.py
+++ b/huracanpy/info/_time.py
@@ -40,8 +40,10 @@ def season(track_id, lat, time, convention="tc-short"):
     lat : xarray.DataArray
     time : xarray.DataArray
     convention : str
-        * 'tc-short' : In the southern hemisphere, the season n corresponds to July n-1 to June n
-        * 'tc-long' : In the southern hemisphere, the season from July n-1 to June n is named "(n-1)n"
+        * 'tc-short' : In the Northern hemisphere, the season is the same as calendar year. 
+        In the southern hemisphere, the season n corresponds to July n-1 to June n
+        * 'tc-long' : In the Northern hemisphere, the season is the same as calendar year.
+        In the southern hemisphere, the season from July n-1 to June n is named "(n-1)n"
 
     Raises
     ------

From d52e21ee5ed6866784c32a8545d1557704fcb4a4 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Tue, 26 Nov 2024 11:04:55 +0000
Subject: [PATCH 13/51] Update density dicstring

---
 huracanpy/calc/_density.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/huracanpy/calc/_density.py b/huracanpy/calc/_density.py
index 57d12c4..50e2273 100644
--- a/huracanpy/calc/_density.py
+++ b/huracanpy/calc/_density.py
@@ -24,10 +24,15 @@ def density(lon, lat, *, method="histogram", bin_size=5, n_seasons=1):
         Number of season (will be used to divide the final results, so that is
         represents points/year). The default is 1.
 
+    Raises
+    ------
+    NotImplementedError
+        If method given is not 'histogram'
+        
     Returns
     -------
     xarray.DataArray
-        Histogram representing number of point per bin per season.
+        Track density as a 2D map.
 
     """
     if method == "histogram":

From 36920c7a2aca44bdca80717a7597c0fab1456a61 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Tue, 26 Nov 2024 11:07:42 +0000
Subject: [PATCH 14/51] Update track stats docstring

---
 huracanpy/calc/_track_stats.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/huracanpy/calc/_track_stats.py b/huracanpy/calc/_track_stats.py
index 734fe15..4c630be 100644
--- a/huracanpy/calc/_track_stats.py
+++ b/huracanpy/calc/_track_stats.py
@@ -35,9 +35,9 @@ def gen_vals(tracks, time, track_id):
 
     Parameters
     ----------
-    tracks : xarray.DataSet
+    tracks : xarray.Dataset
     time : array_like
-    track_id : xarray.Dataset
+    track_id : xarray.DataArray
 
     Returns
     -------

From c53188e289fb558a2c6cbd8f501a06f03c40f16e Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Tue, 26 Nov 2024 11:22:01 +0000
Subject: [PATCH 15/51] Update docstrings

---
 huracanpy/assess/_overlap.py |  7 ++++---
 huracanpy/calc/_lifecycle.py | 12 ++++++++----
 2 files changed, 12 insertions(+), 7 deletions(-)

diff --git a/huracanpy/assess/_overlap.py b/huracanpy/assess/_overlap.py
index 3f62cc9..504ea24 100644
--- a/huracanpy/assess/_overlap.py
+++ b/huracanpy/assess/_overlap.py
@@ -9,9 +9,10 @@ def overlap(tracks1, tracks2, matches=None):
 
     Parameters
     ----------
-    tracks1 (xarray.Dataset)
-    tracks2 (xarray.Dataset)
-    matches (pandas.Dataframe): The output from match_tracks on tracks1 and tracks2.
+    tracks1 : xarray.Dataset
+    tracks2 : xarray.Dataset
+    matches : pandas.Dataframe
+        The output from match_tracks on tracks1 and tracks2.
         If None, match_tracks is run on tracks1 and tracks2.
 
     Returns
diff --git a/huracanpy/calc/_lifecycle.py b/huracanpy/calc/_lifecycle.py
index 0b31c57..e135047 100644
--- a/huracanpy/calc/_lifecycle.py
+++ b/huracanpy/calc/_lifecycle.py
@@ -7,18 +7,20 @@
 
 def time_from_genesis(time, track_ids):
     """
-    Output the time since genesis for each TC point
+    Output the time since genesis for each TC point.
 
     Parameters
     ----------
-    time
-    track_ids
+    time: xr.DataArray
+    track_ids: xr.DataArray
 
     Returns
     -------
     xarray.DataArray
         The time_from_genesis series.
-        You can append it to your tracks by running tracks["time_from_genesis"] = time_from_genesis(tracks)
+        You can append it to your tracks by running 
+        
+        >>> tracks["time_from_genesis"] = time_from_genesis(tracks.time, tracks.track_id)
 
     """
     data_df = pd.DataFrame({"time": time, "track_id": track_ids})
@@ -39,6 +41,8 @@ def time_from_genesis(time, track_ids):
 def time_from_apex(time, track_ids, intensity_var, stat="max"):
     """The time relative to a maxima/minima in a given variable for each individual
     track
+    
+    >>> time_from_apex(tracks.time, tracks.track_id, tracks.wind, stat="max")
 
     Parameters
     ----------

From 7ad4b0e614370c5934d77bb2cca14fc2191194ad Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Tue, 26 Nov 2024 11:32:29 +0000
Subject: [PATCH 16/51] Update docstrings

---
 huracanpy/plot/_density.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/huracanpy/plot/_density.py b/huracanpy/plot/_density.py
index 4bbb224..bb1b2bd 100644
--- a/huracanpy/plot/_density.py
+++ b/huracanpy/plot/_density.py
@@ -20,10 +20,15 @@ def density(
     Parameters
     ----------
     d : xarray.Dataset
+        Density map from :func:`huracanpy.calc.density`
     contourf_kws : dict, optional
+        Arguments to be passed to :func:`matplotlib.pyplot.contourf`
     subplot_kws : dict, optional
+        Arguments to be passed to :func:`matplotlib.pyplot.subplots`' subplot_kw argument 
     fig_kws : dict, optional
+        Arguments to be passed to :func:`matplotlib.pyplot.subplots`
     cbar_kwargs: dict, optional
+        Arguments to be passed to :func:`matplotlib.pyplot.colorbar`
 
     Returns
     -------

From d2d73c3d32b0e3b289a1a16933072b25df8b00c7 Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Tue, 26 Nov 2024 14:54:38 +0000
Subject: [PATCH 17/51] Fix docstrings for decorated functions

---
 huracanpy/_metpy.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/huracanpy/_metpy.py b/huracanpy/_metpy.py
index 0b393f0..27926bd 100644
--- a/huracanpy/_metpy.py
+++ b/huracanpy/_metpy.py
@@ -1,8 +1,11 @@
+import functools
+
 import xarray as xr
 import pint
 
 
 def dequantify_results(original_function):
+    @functools.wraps(original_function)
     def wrapped_function(*args, **kwargs):
         result = original_function(*args, **kwargs)
 

From 274667c0f4b3648416044e5cb636b61d880cb5b1 Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Tue, 26 Nov 2024 15:27:54 +0000
Subject: [PATCH 18/51] Show subheadings in right sidebar

---
 docs/conf.py               |  5 ++++-
 docs/user_guide/demo.ipynb | 12 ++++++------
 2 files changed, 10 insertions(+), 7 deletions(-)

diff --git a/docs/conf.py b/docs/conf.py
index 982bef3..b368f17 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -47,6 +47,9 @@
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
 
 html_theme = "pydata_sphinx_theme"
-html_theme_options = {"github_url": "https://github.com/Huracan-project/huracanpy"}
+html_theme_options = {
+    "github_url": "https://github.com/Huracan-project/huracanpy",
+    "show_toc_level": 3,
+}
 html_static_path = ["_static"]
 html_css_files = ["css/custom.css"]
diff --git a/docs/user_guide/demo.ipynb b/docs/user_guide/demo.ipynb
index 7f5daeb..d7f4b47 100644
--- a/docs/user_guide/demo.ipynb
+++ b/docs/user_guide/demo.ipynb
@@ -32,7 +32,7 @@
    "id": "e8ec02c1-fd58-46b6-9211-e3ac1b36a2fd",
    "metadata": {},
    "source": [
-    "## 1. Studying a specific cyclone\n",
+    "## 1. Studying a specific cyclone\n",
     "In this example, we want to study hurricane Wilma (the deepest Atlantic hurricane on record)."
    ]
   },
@@ -83,7 +83,7 @@
    "id": "ee08d4f1-e18f-4820-810d-0005b92f9105",
    "metadata": {},
    "source": [
-    "### 1b. Add category info\n",
+    "### 1b. Add category info\n",
     "You can add the Saffir-Simpson and/or the pressure category of Wilma to the tracks (for full list of available info, see [huracanpy.info](../api/info.rst))."
    ]
   },
@@ -318,7 +318,7 @@
    "id": "13fcb4af-c3f6-4353-b772-630f0fae6852",
    "metadata": {},
    "source": [
-    "### 2b. Adding info to the tracks\n",
+    "### 2b. Adding info to the tracks\n",
     "HuracanPy has several function to add useful information to the tracks (for full list, see [huracanpy.info](../api/info.rst)). Here for example we add basin and SSHS category information."
    ]
   },
@@ -382,7 +382,7 @@
    "id": "b6b5f0ce-3124-43b3-8f3d-38647cba0217",
    "metadata": {},
    "source": [
-    "### 2c. Plotting\n",
+    "### 2c. Plotting\n",
     "HuracanPy embeds basic plotting functions, which are mainly meant for having a preliminary look at your data. In particular here we show how to plot the track points themselves, and track density. You can learn more in the [huracanpy.plot guide](plot.ipynb). The [example gallery](../examples/index.rst)  also displays nice plots made from HuracanPy and the associated scripts.\n",
     "#### Plotting the tracks"
    ]
@@ -474,7 +474,7 @@
    "id": "43219cdb-5e4f-4ce1-9f37-7cd05355d280",
    "metadata": {},
    "source": [
-    "#### Number of cyclones"
+    "#### Number of cyclones"
    ]
   },
   {
@@ -567,7 +567,7 @@
    "id": "82f009c6-8d92-4cdd-8af4-c72752848d07",
    "metadata": {},
    "source": [
-    "#### ACE"
+    "#### ACE"
    ]
   },
   {

From 9cc3c534fe0eb11295378cfe902c16bc874c666f Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Tue, 26 Nov 2024 16:57:55 +0000
Subject: [PATCH 19/51] Add a changelog

---
 docs/conf.py                |  1 +
 docs/dev_guide/changelog.md | 52 +++++++++++++++++++++++++++++++++++++
 docs/dev_guide/index.rst    |  4 ++-
 pyproject.toml              |  3 ++-
 4 files changed, 58 insertions(+), 2 deletions(-)
 create mode 100644 docs/dev_guide/changelog.md

diff --git a/docs/conf.py b/docs/conf.py
index b368f17..8866100 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -21,6 +21,7 @@
     "nbsphinx",
     "sphinx_copybutton",
     "sphinx_design",
+    "myst_parser",
 ]
 
 templates_path = ["_templates"]
diff --git a/docs/dev_guide/changelog.md b/docs/dev_guide/changelog.md
new file mode 100644
index 0000000..ebdaaf6
--- /dev/null
+++ b/docs/dev_guide/changelog.md
@@ -0,0 +1,52 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## v1.1.0 (unreleased)
+### Added
+- Support for WiTRACK text files in huracanpy.load
+
+## v1.0.0
+### Added
+- xarray Dataset accessor (`hrcn`)
+- Extra keyword arguments to `huracanpy.load`
+  - `rename`
+  - `units`
+  - `baselon`
+- `sel_id` function to select a single track by track_id from a `Dataset` but faster
+  than using `groupby`
+
+### Changed
+- Simplified module namespaces
+  - `utils.{module}.{function}` -> `info.{function}`
+  - `diags.{module}.{function}` -> `calc.{function}` or `tc.{function}`
+  - `subset.trackswhere` -> `trackswhere`
+- Simplified function naming
+  - `plot_` prefix removed functions in `plot` module
+- Modified arguments to `load`
+  - keyword `tracker` renamed `source` to reflect not all tracks are from trackers, e.g.
+    IBTrACS or statistical-dynamical downscaling models
+  - Use `ibtracs_subset` to determine whether the subset is online or not, removing
+    `ibtracs_online` keyword
+  - When `filename` is specified for an online IBTrACS dataset, save the downloaded data
+    to that file, rather than using `ibtracs_clean=False` and a default filename
+- Use a single matching function `assess.match` for 2 or more datasets instead of
+  `assess.match_pair` and `assess.match_multiple`
+- Remove `get_` from functions in `info`. Instead this syntax is used to differentiate
+  `get_` and `add_` functions in the `hrcn` accessor
+- Split `info.get_land_or_ocean` into `is_land` and `is_ocean`
+- Renamed `tc.sshs_cat` to `tc.saffir_simpson_category` and `tc.pres_cat` to
+  `tc.pressure_category`
+- Improved support for calculations with units (using metpy style functions)
+- Updated IBTrACS data
+
+### Removed
+- `add_info` argument from `huracanpy.load`
+- `add_all_info` function. Instead use `add_` functions on `hrcn` accessor
+- `get_time`. Functionality already covered by `pandas.to_datetime`
+
+## Fixed
+- `huracanpy.info.season` now works with `cftime.datetime`
\ No newline at end of file
diff --git a/docs/dev_guide/index.rst b/docs/dev_guide/index.rst
index df350c5..0b34203 100644
--- a/docs/dev_guide/index.rst
+++ b/docs/dev_guide/index.rst
@@ -35,7 +35,9 @@ Alternatively, if you think you have something useful to contribute like a funct
     :maxdepth: 3
     :hidden:
 
+    self
     setup
     examples
     doc
-    tests
\ No newline at end of file
+    tests
+    changelog
diff --git a/pyproject.toml b/pyproject.toml
index 40bccdf..9e49754 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,7 +45,8 @@ docs = [
     "nbsphinx",
     "IPython",
     "sphinx-design",
-    "ipykernel"
+    "ipykernel",
+    "myst-parser",
 ]
 
 [build-system]

From 864fc0a0d1a41869c9a81dc1fd3877d17ee1869d Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Tue, 26 Nov 2024 17:29:48 +0000
Subject: [PATCH 20/51] Add sel_id to subset instructions and reduce cell
 outputs

---
 docs/user_guide/subset.ipynb | 112 +++++++++++++++++++++++++++++++++--
 1 file changed, 108 insertions(+), 4 deletions(-)

diff --git a/docs/user_guide/subset.ipynb b/docs/user_guide/subset.ipynb
index 40158d6..7b7f1b0 100644
--- a/docs/user_guide/subset.ipynb
+++ b/docs/user_guide/subset.ipynb
@@ -1,5 +1,24 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6d4b7b6b-1126-49ec-b8b4-337321000fe8",
+   "metadata": {
+    "editable": true,
+    "nbsphinx": "hidden",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%xmode Minimal\n",
+    "import numpy as np\n",
+    "np.set_printoptions(threshold=5)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "e32f671b-8fb2-40e8-aa4d-fbd17e2eae90",
@@ -48,7 +67,13 @@
   {
    "cell_type": "markdown",
    "id": "25225038-3c80-4fdd-a9fd-0e23e5f8fd93",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "## Selecting times\n",
     "Generally the `time` array will be loaded in as an\n",
@@ -214,10 +239,83 @@
     "print(tracks_subset.time)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "66405828-51e8-423b-816f-9b23ed575594",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "## Selecting an individual track\n",
+    "\n",
+    "This can fairly easily be achieved by `groupby`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a674435-8975-46a2-8045-88658a4877e2",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(np.unique(tracks.track_id))\n",
+    "track = tracks.groupby(\"track_id\")[840]\n",
+    "print(track)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01542bc2-76cf-49ce-b5ba-9fbd49555a37",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "However, this can be fairly slow if you have a large amount of tracks and you are doing\n",
+    "nothing else with `groupby`. Instead, you can use `sel_id` to quickly get an individual\n",
+    "track"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "702467d8-f21b-4ea1-8b32-af3348c0618f",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "track = huracanpy.sel_id(tracks, tracks.track_id, 840)\n",
+    "print(track)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "84113888-e2b6-4314-9355-f43437f6b5a4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "## Subsetting by track\n",
     "To apply a criteria to each track in the dataset, use\n",
@@ -228,7 +326,13 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "22bfae72-04e4-4327-8489-14160f4df557",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# Add storm category by pressure to each track and filter those that don't reach\n",
@@ -267,7 +371,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,

From 6b5f98696d11c3e30d130de277befbeba920e174 Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Tue, 26 Nov 2024 17:55:29 +0000
Subject: [PATCH 21/51] Add example of track tilt file and gathering vorticity
 profile from track

---
 docs/user_guide/load.ipynb | 228 +++++++++++++++++++++++++++++++++----
 1 file changed, 205 insertions(+), 23 deletions(-)

diff --git a/docs/user_guide/load.ipynb b/docs/user_guide/load.ipynb
index 3dfe5ca..68cbd6f 100644
--- a/docs/user_guide/load.ipynb
+++ b/docs/user_guide/load.ipynb
@@ -17,7 +17,13 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "9a96b6bf-fce0-4afd-a9b4-346c91ae782b",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import huracanpy"
@@ -63,10 +69,17 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "dc604929-c0fa-479e-aa5e-871b71399f4c",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "!head {huracanpy.example_csv_file} # HuracanPy embeds an example csv file. Here is the content of the file."
+    "# HuracanPy embeds an example csv file. Here is the content of the file.\n",
+    "!head {huracanpy.example_csv_file}"
    ]
   },
   {
@@ -118,11 +131,17 @@
    "execution_count": null,
    "id": "b1a21795-bbd7-4890-a39e-75d636e36ea5",
    "metadata": {
-    "scrolled": true
+    "editable": true,
+    "scrolled": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
    },
    "outputs": [],
    "source": [
-    "!ncdump -h {huracanpy.example_TRACK_netcdf_file} | head -n 30 # HuracanPy embeds an example netcdf file. Here is the content of the file."
+    "# HuracanPy embeds an example netcdf file. Here is the content of the file.\n",
+    "!ncdump -h {huracanpy.example_TRACK_netcdf_file} | head -n 30"
    ]
   },
   {
@@ -145,28 +164,52 @@
   {
    "cell_type": "markdown",
    "id": "41aeaf8d-3653-49ee-99bb-8b9834106fe8",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
-    "### TRACK textual format\n",
+    "### TRACK\n",
     "\n",
-    "TRACK is a cyclone tracker, which output text files with tracks data. Note that TRACK files don't contain the variable names, instead they are usually described in the filename. Currently `huracanpy.load` doesn't try to infer the variable names from the filename. Instead, any extra variables will be named feature_n, where n is between 0 and number of variables minus 1. TRACK also associates extra coordinates with some of these features, these will be loaded as feature_n_longitude and feature_n_latitude."
+    "TRACK is a cyclone tracker, which output text files with tracks data. Note that TRACK\n",
+    "files don't contain the variable names, instead they are usually described in the\n",
+    "filename. Currently `huracanpy.load` doesn't try to infer the variable names from the\n",
+    "filename. Instead, any extra variables will be named feature_n, where n is between 0 and\n",
+    "number of variables minus 1. TRACK also associates extra coordinates with some of these\n",
+    "features, these will be loaded as feature_n_longitude and feature_n_latitude."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "5767fffe-3ae9-489e-832e-0a93986554f1",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "!head {huracanpy.example_TRACK_file} # HuracanPy embeds an example netcdf file. Here is the content of the file."
+    "# HuracanPy embeds an example file. Here is the content of the file.\n",
+    "!head {huracanpy.example_TRACK_file}"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "1ebad373-64d9-43cb-ad5a-ed758d71ba61",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "file = huracanpy.example_TRACK_file  # Replace with your file name if necessary\n",
@@ -176,7 +219,13 @@
   {
    "cell_type": "markdown",
    "id": "10edab87-a4a6-4201-896d-99a5ffacec7e",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "If you want to load the variables by name, then pass a list of variable names to\n",
     "`huracanpy.load`. The associated longitudes/latitudes are associated to the respective\n",
@@ -187,7 +236,13 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "df9770ec-6617-46ca-b6b7-3ec7953d0403",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "file = huracanpy.example_TRACK_file\n",
@@ -197,7 +252,121 @@
     "    \"vmax_925hPa\",\n",
     "    \"vmax_10m\",\n",
     "]\n",
-    "huracanpy.load(file, source=\"TRACK\", variable_names=variable_names)"
+    "tracks = huracanpy.load(file, source=\"TRACK\", variable_names=variable_names)\n",
+    "tracks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55bcf637-8114-4076-9b3c-8f10c0b21df4",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "The TRACK file contains vorticity on multiple levels. While xarray can allow these\n",
+    "vorticity profiles to be a multidimensional variable, currently each level is loaded in\n",
+    "as a separate variable. To group the variables into one variable you can follow the\n",
+    "example below. In the future we will support this grouping in the load function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "660e1e17-55e4-4b5e-92a1-efa9cabad8a1",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# Add a pressure as a coordinate (add as a variable and then promote)\n",
+    "tracks[\"pressure\"] = (\"pressure\", [850, 700, 600, 500, 400, 300, 200])\n",
+    "tracks = tracks.set_coords(\"pressure\")\n",
+    "\n",
+    "# Group the various vorticity levels into a single variable\n",
+    "# Do the same for the associated lon/lat\n",
+    "vorticity = np.zeros([tracks.sizes[\"record\"], tracks.sizes[\"pressure\"]])\n",
+    "vorticity_lon = np.zeros_like(vorticity)\n",
+    "vorticity_lat = np.zeros_like(vorticity)\n",
+    "for n, plev in enumerate(tracks.pressure):\n",
+    "    # Use the naming specified when loading the variables\n",
+    "    # Use int(plev) otherwise the whole xarray DataArray details are included in the\n",
+    "    # string\n",
+    "    name = f\"vorticity_{int(plev)}hPa\"\n",
+    "    vorticity[:, n] = tracks[name]\n",
+    "    vorticity_lon[:, n] = tracks[name + \"_lon\"]\n",
+    "    vorticity_lat[:, n] = tracks[name + \"_lat\"]\n",
+    "\n",
+    "    # Remove the old variables\n",
+    "    tracks = tracks.drop_vars([name, name + \"_lon\", name + \"_lat\"])\n",
+    "\n",
+    "# Use the name vorticity\n",
+    "tracks = tracks.assign(\n",
+    "    relative_vorticity=([\"record\", \"pressure\"], vorticity),\n",
+    "    relative_vorticity_lon=([\"record\", \"pressure\"], vorticity_lon),\n",
+    "    relative_vorticity_lat=([\"record\", \"pressure\"], vorticity_lat),\n",
+    ")\n",
+    "tracks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "102169c0-05a1-403e-8082-748fcd2cb773",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "### TRACK tilt files\n",
+    "TRACK has a program to calculate the tilt of the vortex at each point. The output of\n",
+    "this program is different to normal track files so you need to specify\n",
+    "`source=\"track.tilt\"` to load it. The pressure levels are included in the file so,\n",
+    "unlike other TRACK files, the multiple levels of tilt are combined to a single variable\n",
+    "with an extra level coordinate in the load function."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dfcd179a-e014-47b5-a26a-4b0100fa0405",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "!head {huracanpy.example_TRACK_tilt_file}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c3b07843-dd9a-4d75-b358-9908e1e9a084",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "huracanpy.load(huracanpy.example_TRACK_tilt_file, source=\"track.tilt\")"
    ]
   },
   {
@@ -220,10 +389,17 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "cb4e1444-b5d7-4a85-80a9-8031213bc949",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "!head {huracanpy.example_TE_file} # HuracanPy embeds an example GFDL format file. Here is the content of the file."
+    "# HuracanPy embeds an example GFDL format file. Here is the content of the file.\n",
+    "!head {huracanpy.example_TE_file} "
    ]
   },
   {
@@ -300,15 +476,21 @@
   {
    "cell_type": "markdown",
    "id": "3d0afeef-3143-4530-ae74-96ef8cdc2707",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "### Online subsets\n",
     "You can download the latest IBTrACS subsets from NOAA's storage by setting `ibtracs_online=True`. In this case the `ibtracs_subset` refers to the official IBTrACS subsets:\n",
-    "        * **ACTIVE**: TCs currently active\n",
-    "        * **ALL**: Entire IBTrACS database\n",
-    "        * Specific basins: **EP**, **NA**, **NI**, **SA**, **SI**, **SP**, **WP**\n",
-    "        * **last3years**: self-explanatory\n",
-    "        * **since1980**: Entire IBTrACS database since 1980 (advent of satellite era,\n",
+    "- **ACTIVE**: TCs currently active\n",
+    "- **ALL**: Entire IBTrACS database\n",
+    "- Specific basins: **EP**, **NA**, **NI**, **SA**, **SI**, **SP**, **WP**\n",
+    "- **last3years**: self-explanatory\n",
+    "- **since1980**: Entire IBTrACS database since 1980 (advent of satellite era,\n",
     "          considered reliable from then on)\n",
     "\n",
     "Example: `huracanpy.load(source=\"IBTrACS\", subset=\"ALL\", ibtracs_online=True)`.\n",
@@ -335,7 +517,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,

From d3a730b39063281bb0eae79201db20d9829c0e5a Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Wed, 27 Nov 2024 12:12:26 +0000
Subject: [PATCH 22/51] Update dev guide

---
 docs/conf.py                                 |  5 +++
 docs/dev_guide/changelog.md                  | 23 ++++------
 docs/dev_guide/doc.md                        | 42 +++++++++++++++++
 docs/dev_guide/doc.rst                       | 47 --------------------
 docs/dev_guide/{examples.rst => examples.md} | 13 +++---
 docs/dev_guide/index.rst                     | 14 +++---
 docs/dev_guide/setup.md                      | 43 ++++++++++++++++++
 docs/dev_guide/setup.rst                     | 32 -------------
 docs/dev_guide/tests.md                      | 29 ++++++++++++
 docs/dev_guide/tests.rst                     |  3 --
 pyproject.toml                               |  1 +
 11 files changed, 139 insertions(+), 113 deletions(-)
 create mode 100644 docs/dev_guide/doc.md
 delete mode 100644 docs/dev_guide/doc.rst
 rename docs/dev_guide/{examples.rst => examples.md} (65%)
 create mode 100644 docs/dev_guide/setup.md
 delete mode 100644 docs/dev_guide/setup.rst
 create mode 100644 docs/dev_guide/tests.md
 delete mode 100644 docs/dev_guide/tests.rst

diff --git a/docs/conf.py b/docs/conf.py
index 8866100..87caac6 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -44,6 +44,11 @@
     "metpy": ("https://unidata.github.io/MetPy/latest/", None),
 }
 
+# myst parser (markdown)
+myst_enable_extensions = [
+    "colon_fence",
+]
+
 # -- Options for HTML output -------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
 
diff --git a/docs/dev_guide/changelog.md b/docs/dev_guide/changelog.md
index ebdaaf6..bf8a9e2 100644
--- a/docs/dev_guide/changelog.md
+++ b/docs/dev_guide/changelog.md
@@ -16,8 +16,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   - `rename`
   - `units`
   - `baselon`
-- `sel_id` function to select a single track by track_id from a `Dataset` but faster
-  than using `groupby`
+- `sel_id` function to select a single track by track_id from a `Dataset` but faster than using `groupby`
 
 ### Changed
 - Simplified module namespaces
@@ -27,19 +26,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Simplified function naming
   - `plot_` prefix removed functions in `plot` module
 - Modified arguments to `load`
-  - keyword `tracker` renamed `source` to reflect not all tracks are from trackers, e.g.
-    IBTrACS or statistical-dynamical downscaling models
-  - Use `ibtracs_subset` to determine whether the subset is online or not, removing
-    `ibtracs_online` keyword
-  - When `filename` is specified for an online IBTrACS dataset, save the downloaded data
-    to that file, rather than using `ibtracs_clean=False` and a default filename
-- Use a single matching function `assess.match` for 2 or more datasets instead of
-  `assess.match_pair` and `assess.match_multiple`
-- Remove `get_` from functions in `info`. Instead this syntax is used to differentiate
-  `get_` and `add_` functions in the `hrcn` accessor
+  - keyword `tracker` renamed `source` to reflect not all tracks are from trackers, e.g. IBTrACS or statistical-dynamical downscaling models
+  - Use `ibtracs_subset` to determine whether the subset is online or not, removing `ibtracs_online` keyword
+  - When `filename` is specified for an online IBTrACS dataset, save the downloaded data to that file, rather than using `ibtracs_clean=False` and a default filename
+- Use a single matching function `assess.match` for 2 or more datasets instead of `assess.match_pair` and `assess.match_multiple`
+- Remove `get_` from functions in `info`. Instead this syntax is used to differentiate `get_` and `add_` functions in the `hrcn` accessor
 - Split `info.get_land_or_ocean` into `is_land` and `is_ocean`
-- Renamed `tc.sshs_cat` to `tc.saffir_simpson_category` and `tc.pres_cat` to
-  `tc.pressure_category`
+- Renamed `tc.sshs_cat` to `tc.saffir_simpson_category` and `tc.pres_cat` to `tc.pressure_category`
 - Improved support for calculations with units (using metpy style functions)
 - Updated IBTrACS data
 
@@ -48,5 +41,5 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - `add_all_info` function. Instead use `add_` functions on `hrcn` accessor
 - `get_time`. Functionality already covered by `pandas.to_datetime`
 
-## Fixed
+### Fixed
 - `huracanpy.info.season` now works with `cftime.datetime`
\ No newline at end of file
diff --git a/docs/dev_guide/doc.md b/docs/dev_guide/doc.md
new file mode 100644
index 0000000..0ef6350
--- /dev/null
+++ b/docs/dev_guide/doc.md
@@ -0,0 +1,42 @@
+# Documentation
+
+## Docstrings
+The API documentation is built from docstrings written with the code.
+We use [numpy style](https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_numpy.html) docstrings.
+If you are adding a function or class, give it a numpy-style docstring and add the name of the function/class to the relevant .rst file in `docs/api/`, and it will be included in the documentation.
+
+## Documentation webpages
+
+### Sphinx
+The present documentation is built with [sphinx](https://www.sphinx-doc.org/en/master/). If you installed `huracanPy` following the developers' instruction, you should have the following package installed in your environment:
+
+- `sphinx`
+- `pydata-sphinx-theme`
+- `nbsphinx`
+- `sphinx-copybutton`
+
+All documentations files are in the `docs` folder at the root of the package.
+They are either `.rst` (reStructured Text), `.md` (markdown), or `.ipynb` (Jupyter Notebook, which includes MarkDown) files.
+
+:::{hint}
+To build the documentation locally, run `make html` in this folder. This is useful to preview your changes before you commit them. 
+:::
+
+
+To learn how to use these tools, you may want to check out the following resources:
+- reStructuredText
+  - [Wikipedia page](https://en.wikipedia.org/wiki/ReStructuredText)
+  - [Sphinx tutorial](https://sphinx-tutorial.readthedocs.io/step-1/)
+  - [Sphinx documentation](https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html)
+- Jupyter notebooks
+  - [Jupyter website](https://jupyter.org/)
+- Markdown
+  - [Jupyter doc](https://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Working%20With%20Markdown%20Cells.html)
+  - [Markdown Guide](https://www.markdownguide.org/)
+  - [Markdown tutorial](https://www.markdowntutorial.com/)
+  - [MyST doc](https://myst-parser.readthedocs.io/en/stable/)
+- Sphinx
+  - [Documentation](https://www.sphinx-doc.org/en/master/index.html)
+  - [Tutorial](https://sphinx-tutorial.readthedocs.io/)
+
+You can also check out the source code of documentation pages you like to find how to do a specific thing.
diff --git a/docs/dev_guide/doc.rst b/docs/dev_guide/doc.rst
deleted file mode 100644
index 0a052e6..0000000
--- a/docs/dev_guide/doc.rst
+++ /dev/null
@@ -1,47 +0,0 @@
-=============
-Documentation
-=============
-
-Docstrings
-----------
-
-Documentation webpages
-----------------------
-Sphinx
-~~~~~~
-The present documentation is built with `Sphinx <https://www.sphinx-doc.org/en/master/>`_. If you installed `huracanPy` following the developers' instruction, you should have the following package installed in your environment: 
-* `sphinx`
-* `pydata-sphinx-theme`
-* `nbsphinx`
-* `sphinx-copybutton`
-
-All documentations files are in the `docs` folder at the root of the package. They are either `.rst` (reStructured Text) or `.ipynb` (Jupyter Notebook, which includes MarkDown) files.
-
-
-.. hint::
-    | To build the documentation locally, run `make html` in this folder. This is useful to preview your changes before you commit them. 
-
-
-To learn how to use these tools, you may want to check out the following resources:
-
-* reStructuredText
-
-    * `Wikipedia page <https://en.wikipedia.org/wiki/ReStructuredText>`_
-    * `Sphinx tutorial <https://sphinx-tutorial.readthedocs.io/step-1/>`_
-    * `Sphinx documentation <https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html>`_
-
-* Jupyter notebooks
-
-    * `Jupyter website <https://jupyter.org/>`_
-    * Markdown
-
-        * `Jupyter doc <https://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Working%20With%20Markdown%20Cells.html>`_
-        * `Markdown Guide <https://www.markdownguide.org/>`_
-        * `Markdown tutorial <https://www.markdowntutorial.com/>`_
-
-* Sphinx
-
-    * `Documentation <https://www.sphinx-doc.org/en/master/index.html>`_
-    * `Tutorial <https://sphinx-tutorial.readthedocs.io/>`_
-
-You can also check out the source code of documentation pages you like to find how to do a specific thing. 
\ No newline at end of file
diff --git a/docs/dev_guide/examples.rst b/docs/dev_guide/examples.md
similarity index 65%
rename from docs/dev_guide/examples.rst
rename to docs/dev_guide/examples.md
index 1c86f18..c885e16 100644
--- a/docs/dev_guide/examples.rst
+++ b/docs/dev_guide/examples.md
@@ -1,17 +1,16 @@
-==============================
-Adding examples to the gallery
-==============================
+# Adding examples to the gallery
 
 You have a cool application of HuracanPy? We would love for you to share it with the world to showcase what can be done with the package!
 
 The recommend format for example pages in Jupyter Notebooks. While it is preferable that examples are based on HuracanPy's embedded example data, on downloadable data, or on data that is generated within the example, it is possible to use your own data. In that case, the notebook cannot be updated when the documentation is re-built (see NB below).
 
-1. Create a notebook with your code in docs/examples/, some explanations, and your potential nice images.
-2. Flag a thumbnail image (if any) with [TODO]
-3. (Optionnal) Check out the result by building the doc locally.
+1. Create a notebook with your code in `docs/examples/`, some explanations, and your potential nice images.
+2. By default the thumbnail image in the gallery will be the last image. To use a different image, add `nbsphinx-thumbnail` to the tags of the cell you want to use. See [here](https://nbsphinx.readthedocs.io/en/latest/gallery/cell-tag.html) for more details.
+3. (Optional) Check out the result by building the doc locally. Run `make html` in the `docs` folder and open the html files in `docs/_build/html/`
 4. Commit and push the changes to your own fork.
 5. Create a pull request to add your example to the online documentation. 
 
-NB: Notebooks may or may not be re-run at each documentation build. While re-running helps with keeping the documentation up-to-date, we cannot re-run your notebook if it uses data that is on your own computer. We also do not wish to re-run computations that may take significant time every time. 
+NB: Notebooks may or may not be re-run at each documentation build. While re-running helps with keeping the documentation up-to-date, we cannot re-run your notebook if it uses data that is on your own computer. We also do not wish to re-run computations that may take significant time every time.
+
 * For your notebook to be re-run, you need to clear cell's output: In the Edit Menu, select "Clear Outputs of All Cells" before saving your notebook. 
 * For your notebook *not* to be re-run, do the opposite: Be careful to run all cells before saving the notebook. 
\ No newline at end of file
diff --git a/docs/dev_guide/index.rst b/docs/dev_guide/index.rst
index 0b34203..996a588 100644
--- a/docs/dev_guide/index.rst
+++ b/docs/dev_guide/index.rst
@@ -15,16 +15,12 @@ Contributor's Guide
 
 It is important that you know the basics of Git to contribute. [LINK]
 
-1. Set up your environment and install the package with developer's options. [LINK]
-2. 
-
-    * If you do not have a specific change in mind, check out the `GitHub issues <https://github.com/Huracan-project/huracanpy/issues>`_, or contact the developers [LINK]. 
-    * If you already do, move on to the next step.
-
+1. Set up your environment and install the package with developer's options. [:doc:`link <setup>`]
+2. If you do not have a specific change in mind, check out the `GitHub issues <https://github.com/Huracan-project/huracanpy/issues>`_, or contact the developers [LINK]. If you already do, move on to the next step.
 3. Identify the sources files that require modification, and go ahead with implementing what you need. Remember to commit regularly your changes.
-4. Implement relevant test. [LINK]
-5. Update or create relevant documentation. [LINK]
-6. Create a pull request for your contribution. 
+4. Implement relevant test. [:doc:`link <tests>`]
+5. Update or create relevant documentation. [:doc:`link <doc>`]
+6. Create a pull request for your contribution. [`Github <https://github.com/Huracan-project/huracanpy/pulls>`_]
 
 If you know what it means, and think it is relevant, think about implementing your function in the `hrcn` accessor as well. 
 
diff --git a/docs/dev_guide/setup.md b/docs/dev_guide/setup.md
new file mode 100644
index 0000000..e950f99
--- /dev/null
+++ b/docs/dev_guide/setup.md
@@ -0,0 +1,43 @@
+# Setup Developer's environment
+
+First create your own fork of huracanpy from the [github page](https://github.com/Huracan-project/huracanpy).
+"Create new fork" from the dropdown.
+Then clone your repository e.g.
+
+```shell
+    git clone /https://github.com/{your-username}/huracanpy.git
+```
+
+To install your copy locally run
+```shell
+    pip install -e .[dev, docs]
+```
+
+The "[dev]" argument installs the following optional packages that are useful for
+contributing to development
+
+1. **pytest**
+
+    We use [pytest](https://docs.pytest.org/en/latest/) to run automated tests. If you
+    add a new feature, it would be good to also add tests to check that feature is
+    working and keeps working in the future. You can also run `pytest` from the top
+    level directory of the package to check that your changes haven't broken anything.
+
+2. **ruff**
+
+    We use [ruff](<https://docs.astral.sh/ruff/) to automatically keep the style of the code consistent, so we don't have to worry about it.
+
+    To check that your code passes you can run `ruff check` and `ruff format --check`.
+
+    To automatically fix differences run `ruff check --fix` and `ruff format`.
+
+3. **pre-commit**
+
+    You can use [pre-commit](https://pre-commit.com/) to automate the formatting done by ruff.
+
+    After running `pre-commit install` at the top level directory, any future git commits will automatically run the ruff formatting on any files you have changes.
+
+
+The "[docs]" argument installs extra dependencies needed to build the documentation locally.
+If you are adding or modifying functions it will probably be useful to also update the documentation.
+For further instructions see {doc}`this page <doc>`.
diff --git a/docs/dev_guide/setup.rst b/docs/dev_guide/setup.rst
deleted file mode 100644
index de51394..0000000
--- a/docs/dev_guide/setup.rst
+++ /dev/null
@@ -1,32 +0,0 @@
-=============================
-Setup Developer's environment
-=============================
-
-To install your copy locally run::
-    pip install -e .[dev]
-
-The "[dev]" argument installs the following optional packages that are useful for
-contributing to development
-
-1. **pytest**
-
-    We use [pytest](https://docs.pytest.org/en/latest/) to run automated tests. If you
-    add a new feature, it would be good to also add tests to check that feature is
-    working and keeps working in the future. You can also run `pytest` from the top
-    level directory of the package to check that your changes haven't broken anything.
-
-2. **ruff**
-
-    We use [ruff](https://docs.astral.sh/ruff/) to automatically keep the style of the
-    code consistent so we don't have to worry about it. To check that your code passes
-    you can run `ruff check` and `ruff format --check`. To automatically fix differences
-    run `ruff check --fix` and `ruff format`.
-
-3. **pre-commit**
-
-    You can use [pre-commit](https://pre-commit.com/) to automate the formatting done by
-    ruff. After running `pre-commit install` at the top level directory, any future git
-    commits will automatically run the ruff formatting on any files you have changes.
-
-
-[TODO: Include doc packages]
\ No newline at end of file
diff --git a/docs/dev_guide/tests.md b/docs/dev_guide/tests.md
new file mode 100644
index 0000000..c218a13
--- /dev/null
+++ b/docs/dev_guide/tests.md
@@ -0,0 +1,29 @@
+# Tests in HuracanPy
+
+## Running tests
+Tests are run using [pytest](https://docs.pytest.org/en/latest/). Simply run
+`pytest` from the top of your repository and it will run all the existing tests.
+
+If you want to run the tests across multiple python versions use [tox](https://tox.wiki/en/stable/).
+Instead, run `tox` from the top of your repository, and tox will build a virtual environment for each python version supported by huracanpy and run the tests for each version.
+Note, the python versions need to be installed on your system for `tox` to build the environments.
+I used `conda` environments and symlinks to achieve this.
+I don't know if that's how you're supposed to do it.
+
+Generally `pytest` should be sufficient for testing.
+GitHub will run the tests over different python versions for pull requests, so `tox` can be useful if GitHub gives unexpected failures.
+
+## Writing tests
+Tests are kept in the `tests` folder.
+The structure of this folder largely mimics the structure of huracanpy, but with folders/files/functions named `test_*`.
+To add your test, add an appropriately named function/file/folder and use some kind of `assert`
+statement to check the results.
+Typically we are using
+- `assert` - The old classic
+- `np.testing.assert_equal` - Check two numpy arrays or array-like objects are equivalent, including if NaNs are present
+- `np.testing.assert_allclose` - Check two numpy arrays or array-like objects are equivalent within a given tolerance for floating-point errors
+- `xr.testing.assert_identical` - Check that two xarray objects are the same, including all metadata
+
+In `tests/conftest.py` are some pre-defined fixtures that can be useful for testing.
+The simplest use is to include the name of the fixture as an argument to your test function, and then the fixture can be used in that test.
+See the [pytest documentation](https://docs.pytest.org/en/stable/explanation/fixtures.html) for more details.
diff --git a/docs/dev_guide/tests.rst b/docs/dev_guide/tests.rst
deleted file mode 100644
index 4896a36..0000000
--- a/docs/dev_guide/tests.rst
+++ /dev/null
@@ -1,3 +0,0 @@
-==================
-Tests in HuracanPy
-==================
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 9e49754..fea676b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,6 +38,7 @@ dev = [
   "pre-commit",
   "pytest",
   "ruff",
+  "tox",
 ]
 docs = [
     "pydata-sphinx-theme",

From e49461c30d00c7594d05a8edd137be5b35ba08c9 Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Wed, 27 Nov 2024 12:24:06 +0000
Subject: [PATCH 23/51] Simplify Readme and move duplicated getting_started
 guide to ipynb

---
 README.md                           | 108 ++--------------------------
 docs/user_guide/demo.ipynb          |   2 +-
 docs/user_guide/getting_started.rst |  56 ---------------
 docs/user_guide/index.rst           |   1 +
 docs/user_guide/quickstart.ipynb    |  85 ++++++++++++++++++++++
 5 files changed, 91 insertions(+), 161 deletions(-)
 delete mode 100644 docs/user_guide/getting_started.rst
 create mode 100644 docs/user_guide/quickstart.ipynb

diff --git a/README.md b/README.md
index ce74119..12cf8cb 100644
--- a/README.md
+++ b/README.md
@@ -1,110 +1,10 @@
 # huracanpy
 [![Documentation Status](https://readthedocs.org/projects/huracanpy/badge/?version=latest)](https://huracanpy.readthedocs.io/en/latest/?badge=latest)
 
-A python package for working with various forms of feature tracking data
+A python package for working with various forms of feature tracking data.
+Click the badge above for the documentation.
 
-## Version 1 coming soon! Subscribe for notification.
-We will release version 1 soon (by the end of November 2024). We advice you wait for this version to install the package. To stay updated about it, there are two options:
-1. Most specific: Subscribe to [this discussion](https://github.com/Huracan-project/huracanpy/discussions/57), that we will use to communicate with our community of users.
+## Version 1 released! Subscribe for updates.
+1. Most specific: Subscribe to [this discussion](https://github.com/Huracan-project/huracanpy/discussions/57) for further updates.
 2. Less specific: "Watch" the repo by clicking the button on the top-right of this page. Select "custom" then tick "discussions". You can always go back if there turns out to be too much emails. 
 (We wish there was a better way for you to subscribe to announcements. If you agree with us, please up [this issue](https://github.com/orgs/community/discussions/3951).)
-
-## Installation
-To install the package, you can use `pip`: `pip install huracanpy`.
-
-This can fail with older python versions due to issues with installing cartopy through
-pip. If this happens, use conda to install cartopy first
-(e.g. `conda install -c conda-forge cartopy`), then install huracanpy as normal
-
-
-## Usage
-The idea of this package is to be a standard way for working with cyclone track data. We
-were all working on track data, but in slightly different ways which makes sharing code
-more difficult. The method chosen here is to treat a set of tracks as an xarray
-[Dataset](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html) with a
-minimal number of assumed variables (track_id, lon, lat, time). e.g. running
-
-```python
-import huracanpy
-
-tracks = huracanpy.load(huracanpy.example_csv_file)
-minimal_tracks = tracks[["track_id", "lon", "lat", "time"]]
-
-print(minimal_tracks)
-```
-gives
-```
-<xarray.Dataset>
-Dimensions:   (obs: 99)
-Coordinates:
-  * obs       (obs) int64 0 1 2 3 4 5 6 7 8 9 ... 89 90 91 92 93 94 95 96 97 98
-Data variables:
-    track_id  (obs) int64 0 0 0 0 0 0 0 0 0 0 0 0 0 ... 2 2 2 2 2 2 2 2 2 2 2 2
-    lon       (obs) float64 120.5 119.0 119.0 119.2 ... 57.5 58.5 60.25 62.25
-    lat       (obs) float64 -14.25 -14.75 -15.0 -15.0 ... -39.25 -42.0 -45.5
-    time      (obs) datetime64[ns] 1980-01-06T06:00:00 ... 1980-01-30T18:00:00
-```
-
-where each "obs" corresponds to a TC point (time, lon, lat).
-All variables that were present in your file are variables in the loaded dataset.
-
-Note that the data is one dimensional but represents multiple tracks. This is done
-rather than having track_id as an additional dimension to avoid having to add a bunch of
-extra blank data to each track when they are not the same length. The `groupby` function
-allows us to easily loop over or index tracks in this format.
-```python
-import huracanpy
-
-tracks = huracanpy.load(huracanpy.example_csv_file)
-
-track_groups = tracks.groupby("track_id")
-
-# Selecting track by ID
-# The track_id is not necessarily an integer, it follows whatever you have loaded
-# e.g. could be a string for IBTrACS
-track_id1 = track_groups[1]
-
-# Iterating over all tracks
-# Each track will be a subset of the xarray Dataset with a unique track_id
-for n, track in track_groups:
-    # Do something with the track
-```
-
-#### csv tracks data
-If you tracks are stored in csv (including if they were outputed from TempestExtremes' StitchNodes),
-you can specify the `tracker="csv"` argument, or, if your filename ends with `csv`, it will be detected automatically.
-
-#### TRACK tracks data
-If your tracks are in TRACK format, use the `tracker="TRACK"` option
-
-## Contributing
-We welcome suggestions and contributions to huracanpy. If you have existing code for
-working with track data, we would definitely welcome contributions/suggestions for
-modifying it to work with the xarray format used here. To add suggestions, feel free to
-open an issue or contact us. To contribute code, please make a fork of this repository,
-follow the instructions below, and open a pull request.
-
-To install your copy locally run
-```shell
-pip install -e .[dev]
-```
-The "[dev]" argument installs the following optional packages that are useful for
-contributing to development
-1. **pytest**
-
-    We use [pytest](https://docs.pytest.org/en/latest/) to run automated tests. If you
-    add a new feature, it would be good to also add tests to check that feature is
-    working and keeps working in the future. You can also run `pytest` from the top
-    level directory of the package to check that your changes haven't broken anything.
-2. **ruff**
-
-    We use [ruff](https://docs.astral.sh/ruff/) to automatically keep the style of the
-    code consistent so we don't have to worry about it. To check that your code passes
-    you can run `ruff check` and `ruff format --check`. To automatically fix differences
-    run `ruff check --fix` and `ruff format`.
-
-3. **pre-commit**
-
-    You can use [pre-commit](https://pre-commit.com/) to automate the formatting done by
-    ruff. After running `pre-commit install` at the top level directory, any future git
-    commits will automatically run the ruff formatting on any files you have changes.
diff --git a/docs/user_guide/demo.ipynb b/docs/user_guide/demo.ipynb
index d7f4b47..8852b00 100644
--- a/docs/user_guide/demo.ipynb
+++ b/docs/user_guide/demo.ipynb
@@ -5,7 +5,7 @@
    "id": "d373c1cc-f372-4076-a9a0-df6654063333",
    "metadata": {},
    "source": [
-    "# Getting started with HuracanPy\n",
+    "# Example Workflows\n",
     "In this notebook, we demonstrate the type of analysis workflow you can build using HuracanPy. To know more about the available options and functions, please go through the [huracanpy.load guide](index.rst), and/or browse the [API documentation](../api/index.rst). The [example gallery](../examples/index.rst) gallery also provides useful demonstrations.\n",
     "We show three workflows: \n",
     "1. Studying a specific cyclone\n",
diff --git a/docs/user_guide/getting_started.rst b/docs/user_guide/getting_started.rst
deleted file mode 100644
index 2541774..0000000
--- a/docs/user_guide/getting_started.rst
+++ /dev/null
@@ -1,56 +0,0 @@
-Quick Start
-===========
-
-The idea of this package is to be a standard way for working with cyclone track data. We
-were all working on track data, but in slightly different ways which makes sharing code
-more difficult. The method chosen here is to treat a set of tracks as an `xarray.Dataset <https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html>`_ with a
-minimal number of assumed variables (track_id, lon, lat, time). e.g. running
-
-.. code-block:: python
-
-   import huracanpy
-
-   tracks = huracanpy.load(huracanpy.example_csv_file)
-   minimal_tracks = tracks[["track_id", "lon", "lat", "time"]]
-
-   print(minimal_tracks)
-
-gives
-
-.. code-block::
-
-   <xarray.Dataset>
-   Dimensions:   (record: 99)
-   Coordinates:
-     * record    (record) int64 0 1 2 3 4 5 6 7 8 9 ... 89 90 91 92 93 94 95 96 97 98
-   Data variables:
-       track_id  (record) int64 0 0 0 0 0 0 0 0 0 0 0 0 0 ... 2 2 2 2 2 2 2 2 2 2 2 2
-       lon       (record) float64 120.5 119.0 119.0 119.2 ... 57.5 58.5 60.25 62.25
-       lat       (record) float64 -14.25 -14.75 -15.0 -15.0 ... -39.25 -42.0 -45.5
-       time      (record) datetime64[ns] 1980-01-06T06:00:00 ... 1980-01-30T18:00:00
-
-where each "record" corresponds to a TC point (time, lon, lat).
-All variables that were present in your file are variables in the loaded dataset.
-
-Note that the data is one dimensional but represents multiple tracks. This is done
-rather than having track_id as an additional dimension to avoid having to add a bunch of
-extra blank data to each track when they are not the same length. The ``groupby`` function
-allows us to easily loop over or index tracks in this format.
-
-.. code-block:: python
-
-   import huracanpy
-
-   tracks = huracanpy.load(huracanpy.example_csv_file)
-
-   track_groups = tracks.groupby("track_id")
-
-   # Selecting track by ID
-   # The track_id is not necessarily an integer, it follows whatever you have loaded
-   # e.g. could be a string for IBTrACS
-   track_id1 = track_groups[1]
-
-   # Iterating over all tracks
-   # Each track will be a subset of the xarray Dataset with a unique track_id
-   for track_id, track in track_groups:
-       # Do something with the track
\ No newline at end of file
diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst
index adf8308..e3f587e 100644
--- a/docs/user_guide/index.rst
+++ b/docs/user_guide/index.rst
@@ -44,6 +44,7 @@ The package also defines a `.hrcn` xarray accessor, which allow you to call most
 
     self
     install
+    quickstart
     demo
     load
     save
diff --git a/docs/user_guide/quickstart.ipynb b/docs/user_guide/quickstart.ipynb
new file mode 100644
index 0000000..81efcb9
--- /dev/null
+++ b/docs/user_guide/quickstart.ipynb
@@ -0,0 +1,85 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2b7bbca4-2c58-493c-9f08-4e5a8bc53d08",
+   "metadata": {},
+   "source": [
+    "# Getting Started\n",
+    "HuracanPy provides a standard way for working with cyclone track data from different sources.\n",
+    "HuracanPy can load track data from various sources as an xarray [Dataset](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html) with a minimal number of assumed variables (track_id, lon, lat, time). e.g. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b1565ee-4e86-4053-ad73-0a7557b3e6cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import huracanpy\n",
+    "\n",
+    "tracks = huracanpy.load(huracanpy.example_csv_file)\n",
+    "print(tracks)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2becf5e-9b2b-4c61-a193-901e90e7815b",
+   "metadata": {},
+   "source": [
+    "Each \"record\" corresponds to a TC point (time, lon, lat).\n",
+    "\n",
+    "Note that the data is one dimensional but represents multiple tracks.\n",
+    "This is done rather than having track_id as an additional dimension to avoid having to add blank data to each track when they are not the same length.\n",
+    "The `groupby` function, built in to xarray, allows us to easily loop over or index tracks in this format."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "960e9a7d-0cf2-4797-a297-c048eb739327",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import huracanpy\n",
+    "\n",
+    "tracks = huracanpy.load(huracanpy.example_csv_file)\n",
+    "\n",
+    "track_groups = tracks.groupby(\"track_id\")\n",
+    "\n",
+    "# Selecting track by ID\n",
+    "# The track_id is not necessarily an integer, it follows whatever you have loaded\n",
+    "# e.g. could be a string for IBTrACS\n",
+    "track_id1 = track_groups[1]\n",
+    "\n",
+    "# Iterating over all tracks\n",
+    "# Each track will be a subset of the xarray Dataset with a unique track_id\n",
+    "for n, track in track_groups:\n",
+    "    # Do something with the track\n",
+    "    print(track)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 938fcde8ad5698fe4231d2aefdf750c853a215ac Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Fri, 29 Nov 2024 11:49:21 +0100
Subject: [PATCH 24/51] Add ERA20C NATL tracks in examples

---
 docs/examples/ERA-20C_assessment.ipynb         |   6 +++---
 .../example_data/ERA20C_TRACK_NATL_tcident.nc  | Bin 0 -> 959236 bytes
 2 files changed, 3 insertions(+), 3 deletions(-)
 create mode 100644 huracanpy/_data/example_data/ERA20C_TRACK_NATL_tcident.nc

diff --git a/docs/examples/ERA-20C_assessment.ipynb b/docs/examples/ERA-20C_assessment.ipynb
index 51f135c..f045ca9 100644
--- a/docs/examples/ERA-20C_assessment.ipynb
+++ b/docs/examples/ERA-20C_assessment.ipynb
@@ -1945,8 +1945,8 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (Spyder)",
-   "language": "python3",
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {
@@ -1959,7 +1959,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/huracanpy/_data/example_data/ERA20C_TRACK_NATL_tcident.nc b/huracanpy/_data/example_data/ERA20C_TRACK_NATL_tcident.nc
new file mode 100644
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literal 0
HcmV?d00001


From efc1d6f464d1a9367b79cbf472a88ff907b868fa Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Fri, 29 Nov 2024 11:54:48 +0100
Subject: [PATCH 25/51] Make ERA20C example file link

---
 docs/examples/ERA-20C_assessment.ipynb | 6 +++---
 huracanpy/__init__.py                  | 2 ++
 huracanpy/_data/__init__.py            | 3 +++
 3 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/docs/examples/ERA-20C_assessment.ipynb b/docs/examples/ERA-20C_assessment.ipynb
index f045ca9..66ee568 100644
--- a/docs/examples/ERA-20C_assessment.ipynb
+++ b/docs/examples/ERA-20C_assessment.ipynb
@@ -36,14 +36,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "id": "3b4ceb72-dbdf-441a-93e2-98807f7fda81",
    "metadata": {},
    "outputs": [],
    "source": [
     "data = huracanpy.load(\n",
-    "    \"data/NATL.nc\",\n",
-    ").reset_coords()[[\"psl\", \"wind_speed_10m\", \"time\", \"latitude\", \"longitude\", \"track_id\"]]\n",
+    "    '/Users/bourdin/Softs/huracanpy/huracanpy/_data/example_data/ERA20C_TRACK_NATL_tcident.nc'\n",
+    ")#.reset_coords()[[\"psl\", \"wind_speed_10m\", \"time\", \"latitude\", \"longitude\", \"track_id\"]]\n",
     "# Reset coords and subset variable due to the format of this specific file from TRACK\n",
     "data.psl.attrs[\"units\"] = \"hPa\"  # Fixing misspelled pressure unit"
    ]
diff --git a/huracanpy/__init__.py b/huracanpy/__init__.py
index 2cf960a..f5e4e22 100644
--- a/huracanpy/__init__.py
+++ b/huracanpy/__init__.py
@@ -24,6 +24,7 @@
     "example_TE_file",
     "example_CHAZ_file",
     "example_MIT_file",
+    "example_ERA20C_file",
     "_accessor",
 ]
 
@@ -39,6 +40,7 @@
     example_TE_file,
     example_CHAZ_file,
     example_MIT_file,
+    example_ERA20C_file,
 )
 from ._basins import basins
 from ._interp import interp_time
diff --git a/huracanpy/_data/__init__.py b/huracanpy/_data/__init__.py
index e57c71e..940ea75 100644
--- a/huracanpy/_data/__init__.py
+++ b/huracanpy/_data/__init__.py
@@ -12,6 +12,7 @@
     "example_TE_file",
     "example_CHAZ_file",
     "example_MIT_file",
+    "example_ERA20C_file",
 ]
 
 import pathlib
@@ -43,3 +44,5 @@
 
 example_CHAZ_file = str(testdata_dir / "CHAZ_sample.nc")
 example_MIT_file = str(testdata_dir / "MIT_sample.nc")
+
+example_ERA20C_file = str(testdata_dir / "ERA20C_TRACK_NATL_tcident.nc")
\ No newline at end of file

From 932a19160312f73054d61c984cb48d0ec014e701 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Fri, 29 Nov 2024 12:33:37 +0100
Subject: [PATCH 26/51] Update ERA20C example and make runnable

---
 docs/examples/ERA-20C_assessment.ipynb | 1783 +-----------------------
 1 file changed, 71 insertions(+), 1712 deletions(-)

diff --git a/docs/examples/ERA-20C_assessment.ipynb b/docs/examples/ERA-20C_assessment.ipynb
index 66ee568..b59a971 100644
--- a/docs/examples/ERA-20C_assessment.ipynb
+++ b/docs/examples/ERA-20C_assessment.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "0757f0c8-9a56-4f49-b08b-63768585fb98",
    "metadata": {},
    "outputs": [],
@@ -36,16 +36,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "3b4ceb72-dbdf-441a-93e2-98807f7fda81",
    "metadata": {},
    "outputs": [],
    "source": [
     "data = huracanpy.load(\n",
-    "    '/Users/bourdin/Softs/huracanpy/huracanpy/_data/example_data/ERA20C_TRACK_NATL_tcident.nc'\n",
-    ")#.reset_coords()[[\"psl\", \"wind_speed_10m\", \"time\", \"latitude\", \"longitude\", \"track_id\"]]\n",
-    "# Reset coords and subset variable due to the format of this specific file from TRACK\n",
-    "data.psl.attrs[\"units\"] = \"hPa\"  # Fixing misspelled pressure unit"
+    "    huracanpy.example_ERA20C_file\n",
+    ")\n",
+    "data.psl.attrs[\"units\"] = \"hPa\"  # Fixing misspelled pressure unit\n",
+    "data"
    ]
   },
   {
@@ -59,78 +59,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "ddd34671-76da-4786-95fa-f7237180be48",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['psl', 'wind_speed_10m', 'time', 'latitude', 'longitude', 'track_id']"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Preliminary available variables\n",
-    "list(data.variables.keys())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "9e81a21a-3f89-488c-a621-6f966328e4ae",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Apply add_all_info to add a number of useful attributes.\n",
-    "data = huracanpy.utils.add_all_info(\n",
-    "    data,\n",
-    "    lat_name=\"latitude\",\n",
-    "    lon_name=\"longitude\",\n",
-    "    wind_name=\"wind_speed_10m\",\n",
-    "    slp_name=\"psl\",\n",
-    "    slp_units=\"hPa\",\n",
-    ")\n",
-    "# If you want to add individually the one you need instead, have a look at the functionning of the utils module itself."
+    "# Use the accessor's add_ function to add the info you want\n",
+    "## SSHS category\n",
+    "data = data.hrcn.add_saffir_simpson_category(wind_name = \"wind_speed_10m\")\n",
+    "## Presure category\n",
+    "data = data.hrcn.add_pressure_category(slp_name = \"psl\")\n",
+    "## Season \n",
+    "data = data.hrcn.add_season()\n",
+    "# More info are available, in particular geographical ones, but we do not need them for this example."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "8fad57ab-5bd3-4cb3-8592-b76e4f5fa0cb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['psl',\n",
-       " 'wind_speed_10m',\n",
-       " 'time',\n",
-       " 'latitude',\n",
-       " 'longitude',\n",
-       " 'track_id',\n",
-       " 'hemisphere',\n",
-       " 'basin',\n",
-       " 'is_ocean',\n",
-       " 'country',\n",
-       " 'continent',\n",
-       " 'season',\n",
-       " 'sshs',\n",
-       " 'pres_cat']"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# New list of variables\n",
-    "list(data.variables.keys())"
+    "data"
    ]
   },
   {
@@ -144,39 +95,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "b894434f-7f28-4993-bbab-91ef1630c988",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(<Figure size 1000x1000 with 1 Axes>,\n",
-       " <GeoAxes: xlabel='longitude', ylabel='latitude'>)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1000x1000 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Basic plot of the data points\n",
-    "huracanpy.plot.tracks.plot_tracks_basic(\n",
-    "    data.longitude,\n",
-    "    data.latitude,\n",
-    "    data.wind_speed_10m,\n",
-    ")"
+    "data.hrcn.plot_tracks(intensity_var_name = \"wind_speed_10m\")"
    ]
   },
   {
@@ -190,1174 +115,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "83c93284-c843-4017-b627-a2009978424e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "\n",
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-       "\n",
-       ".xr-attrs dt:hover span {\n",
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-       "\n",
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-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray ()&gt; Size: 8B\n",
-       "array(5.61111111)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dbe0aa2c-fd39-46c2-ae03-7edb73dc2d72' class='xr-array-in' type='checkbox' checked><label for='section-dbe0aa2c-fd39-46c2-ae03-7edb73dc2d72' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.611</span></div><div class='xr-array-data'><pre>array(5.61111111)</pre></div></div></li><li class='xr-section-item'><input id='section-bd823bb4-4641-4b20-b346-1aef294f4718' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd823bb4-4641-4b20-b346-1aef294f4718' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9c838364-4dd3-4488-8cb8-20c4e0e3db5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c838364-4dd3-4488-8cb8-20c4e0e3db5a' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1e0c7c0d-afb5-4b7d-b899-ab76e38fd386' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1e0c7c0d-afb5-4b7d-b899-ab76e38fd386' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray ()> Size: 8B\n",
-       "array(5.61111111)"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Frequency (Number of track per year)\n",
-    "huracanpy.diags.climato.freq(data, by=\"season\")"
+    "data.track_id.hrcn.nunique() / data.season.hrcn.nunique() \n",
+    "# number of unique tracks / number of unique season"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "6923e97b-496d-4267-a37f-f5c8c61a2ec6",
    "metadata": {},
-   "outputs": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;duration&#x27; ()&gt; Size: 8B\n",
-       "array(56.71990741)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'duration'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0adb1d76-cea1-47b4-8cfa-1b99141a3e6a' class='xr-array-in' type='checkbox' checked><label for='section-0adb1d76-cea1-47b4-8cfa-1b99141a3e6a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>56.72</span></div><div class='xr-array-data'><pre>array(56.71990741)</pre></div></div></li><li class='xr-section-item'><input id='section-2b3c7fe1-208d-4df6-938a-fdc2a1f68f6e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b3c7fe1-208d-4df6-938a-fdc2a1f68f6e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d2c251ab-5078-4195-add4-903ec326621c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d2c251ab-5078-4195-add4-903ec326621c' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-539f3a3b-9b73-4775-99d0-8a1df44ea57d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-539f3a3b-9b73-4775-99d0-8a1df44ea57d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'duration' ()> Size: 8B\n",
-       "array(56.71990741)"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# TCD (Accumulated duration of storms per year)\n",
-    "huracanpy.diags.climato.TC_days(data, by=\"season\")"
+    "data.hrcn.get_track_duration().sum() / 24 / data.season.hrcn.nunique()\n",
+    "# Compute duration per track, convert to days / number of unique season"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "64b4140e-32e1-4f3c-a7f2-d990f3aa31b8",
+   "execution_count": null,
+   "id": "29c21041-3beb-425e-8e8e-c1624616d862",
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-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray ()&gt; Size: 4B\n",
-       "array(15.185588, dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-439f7be3-ff8a-41a5-856f-c455fbe08890' class='xr-array-in' type='checkbox' checked><label for='section-439f7be3-ff8a-41a5-856f-c455fbe08890' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>15.19</span></div><div class='xr-array-data'><pre>array(15.185588, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-728afb80-43e1-43c2-8bca-7357eabd7f7d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-728afb80-43e1-43c2-8bca-7357eabd7f7d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6a7bd7d7-ea6d-4c0e-92dc-9223b0328bd4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a7bd7d7-ea6d-4c0e-92dc-9223b0328bd4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-84b29886-a9b3-4f40-bef5-ba5f859d95e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-84b29886-a9b3-4f40-bef5-ba5f859d95e2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray ()> Size: 4B\n",
-       "array(15.185588, dtype=float32)"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# ACE (aggregated per year)\n",
-    "huracanpy.utils.ace.ace_by_point(\n",
-    "    data.wind_speed_10m, threshold=0, wind_units=\"m s**-1\"\n",
-    ").groupby(data.season).sum().mean()"
+    "# ACE per year\n",
+    "data = data.hrcn.add_ace(wind_name = \"wind_speed_10m\")\n",
+    "data.ace.groupby(data.season).sum().mean()\n",
+    "# Get ace for each point, sum by season and average over the seasons\n",
+    "# NB: By default, huracanpy computes ACE only for points with wind above 34 knots"
    ]
   },
   {
@@ -1371,35 +162,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "785c5b89-de05-47ff-8e06-be88e39eb8dc",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "## Interannual\n",
     "\n",
     "fig, axs = plt.subplots(3, sharex=True)\n",
     "# Frequency\n",
-    "data.groupby(\"season\").apply(huracanpy.diags.climato.freq).plot(ax=axs[0])\n",
+    "# In this case, it is easier to go through a dataframe\n",
+    "data.to_dataframe().groupby(\"season\").track_id.nunique().plot(ax=axs[0]) \n",
     "axs[0].set_ylabel(\"Number of tracks\")\n",
     "# TCD\n",
-    "data.groupby(\"season\").apply(huracanpy.diags.climato.TC_days).plot(ax=axs[1])\n",
+    "data.groupby(\"season\").apply(lambda s: s.hrcn.get_track_duration().sum()).plot(ax=axs[1])\n",
     "axs[1].set_ylabel(\"TC days\")\n",
     "# ACE\n",
-    "data.groupby(\"season\").apply(\n",
-    "    lambda x: huracanpy.diags.climato.ACE(x, wind_name=\"wind_speed_10m\")\n",
-    ").plot(ax=axs[2])\n",
+    "data.groupby(\"season\").sum().ace.plot(ax=axs[2])\n",
     "axs[2].set_ylabel(\"ACE\")\n",
     "\n",
     "for ax in axs:\n",
@@ -1409,42 +188,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "c20dfe44-ebc7-482b-9c48-3007acfc51ac",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x32c5ac250>]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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E8+hNMncrpk5guCEikgmDUcTFouYVQ31cYKXU9cbHtfTdpLPvhm6O4YaISCaulNVA32SExk2B7gGeUpdjV2N6NYeb1IJKlFTxKAbqGMMNEZFMmJqJ40J9oFQIEldjX0HeagyIaB6t2s+jGOgmGG6IiGTiggsdu9AW9t1QZzHcEBHJRJoLHbvQluv3u+FRDNQRhhsiIplwpWMX2jI82h8aNwVKqvRIK6qSuhxyYAw3REQyUNvQhKzyWgCuO3KjVikxikcxUCcw3BARycDFomqIIhDo5Y5gH7XU5Ujm2inhbCqm9jHcEBHJgCseu9AWU9/N4cxyHsVA7WK4ISKSAVc8dqEtvUK8EearQUOTEUcyy6UuhxwUww0RkQy44rELbWk+isG0aop9N9Q2hhsiIhm4Ni3lmiulrjcujn031DFJw01ycjKmTZuGiIgICIKAbdu2dXj/1q1bMXnyZAQHB8PX1xeJiYn49ttv7VMsEZFESqv1KK1ugCA0n5Dt6sb2CoIgNE/VFVfWS10OOSBJw01NTQ2GDBmCNWvWdOr+5ORkTJ48GTt37sTx48dxxx13YNq0aTh58qSNKyUikk56y6hN9wBPeLqrJK5GegFe7hgUqQXA0Rtqm6TfJVOnTsXUqVM7ff/q1atbffzGG29g+/bt2LFjB+Lj461cHRGRY3D1YxfaMq53EE7n6rD3YgkeHN5N6nLIwci658ZoNKKqqgoBAQFSl0JEZDPXdiZmuDEx7Xez71IpjEYexUCtyXp886233kJNTQ2mT5/e7j16vR56vd78cWVlpT1KIyKymgtFbCb+uWHd/eHprkRpdQPOF1ZiQIRW6pLIgch25Gbz5s149dVXsWXLFoSEhLR734oVK6DVas2PqKgoO1ZJRHRrjEYRF4u4x83PuasUSGw5ioF9N/Rzsgw3W7Zswfz58/Gf//wHkyZN6vDepUuXQqfTmR85OTl2qpKI6NblXK1FbYMB7ioFogM9pS7HoXC/G2qP7KalNm/ejHnz5mHz5s249957b3q/Wq2GWu2657AQkbyZmol7BXtDpZTlv0dtxrTfzdHMq6hrMMDDXSlxReQoJP1Oqa6uRkpKClJSUgAAmZmZSElJQXZ2NoDmUZc5c+aY79+8eTPmzJmDt956C6NGjUJhYSEKCwuh0+mkKJ+IyObYTNy+nkFeiPTzQIPBiMOZZVKXQw5E0nBz7NgxxMfHm5dxL168GPHx8XjllVcAAAUFBeagAwDvvvsumpqa8NRTTyE8PNz8WLhwoST1ExHZGg/MbF/roxjYd0PXSDotdfvtt0MU21/Ct3HjxlYf//TTT7YtiIjIwVwobF7hyXDTtnG9g/HZ0Rz23VArnMAlInJQ9Y0GXCmrBQD05TLwNo3pFQhBANKLqlGo41EM1IzhhojIQV0qrobBKELr4YZQXy6MaIufpzsGd/MDwFVTdA3DDRGRg7q+30YQBImrcVzj2XdDP8NwQ0TkoNKKuFKqM3gUA/0cww0RkYO6wJVSnRLf3Q9e7kqU1zTgXD6P2CGGGyIih5XWslKKIzcdc1MqkBjbPDWVzL4bAsMNEZFDqqhtQFFl86G/caEMNzczPo5HMdA1DDdERA7INCUV6ecBH42bxNU4PlPfzfGsq6jRN0lcDUmN4YaIyAHx2AXLRAd6opu/BxoNIo9iIIYbIiJHxGZiyzQfxdA8epOcziXhro7hhojIAaXx2AWLTWDfDbVguCEicjCiKCK9qBoAj12wRGJsEBQCkFFSg7yKOqnLIQkx3BAROZjcq3Wo1jfBTSmgZ7CX1OXIhtbDDUOj/AAA+zh649IYboiIHIypmTg22BtuSv6YtoS574ZHMbg0ftcQETkY07EL7LexnGm/m/2XSmHgUQwui+GGiMjBcKVU1w3p5gcftQoVtY04m6eTuhySCMMNEZGD4bELXadSKjC6VyAArppyZQw3REQOpKHJiMslNQCAPlwp1SXsuyGGGyIiB5JRUo0mowgfjQoRWo3U5cjS+JZwcyLrKqp5FINLYrghInIgppVSfUJ9IAiCxNXIU/dAT/QI9ESTUcShDB7F4IoYboiIHAibia1jXG/uVuzKGG6IiBwIm4mtw9R3s5d9Ny6J4YaIyIGYp6XYTHxLEmMDoVQIuFxag5zyWqnLITtjuCEichC6ukbk6+oBNPfcUNf5atwQ33IUA0dvXA/DDRGRg0hv2Zk4XKuB1tNN4mrk79rUFPtuXA3DDRGRg2AzsXWNu+4ohiaDUeJqyJ4YboiIHISpmZjhxjoGR2rhq1Ghsr4Jp3kUg0thuCEichCmZmKulLIOlVKBMb1aloSns+/GlTDcEBE5AFEUr01LhXKllLWw78Y1MdwQETmAAl09quqboFQIiA3xkrocp2HazO9kTgUq6xslrobsheGGiMgBmKakegZ5Qa1SSlyN84gK8ERMkBcMRhEHeRSDy2C4ISJyAFwpZTs8isH1MNwQETkAHrtgO+N5FIPLYbghInIAF3jsgs2Mig2ESiEgq6wWWWU1UpdDdsBwQ0QksUaDERkl1QA4cmML3moVhvXwB8DRG1fBcENEJLHM0ho0GkR4uSsR6echdTlOaTz7blyKpOEmOTkZ06ZNQ0REBARBwLZt2276nD179mD48OHQaDTo2bMn3nnnHdsXSkRkQ6YpqbgwHygUgsTVOCfTfjcHLpXxKAYXIGm4qampwZAhQ7BmzZpO3Z+ZmYl77rkH48aNw8mTJ/GHP/wBzz77LL788ksbV0pEZDtsJra9gZFa+Hm6oUrfhFO5FVKXQzamkvLFp06diqlTp3b6/nfeeQfdu3fH6tWrAQD9+vXDsWPH8Le//Q0PPvigjaokIrKtNPPOxAw3tqJUCBjTKwj/PV2A5PRSDO8RIHVJZEOy6rk5ePAgpkyZ0uraXXfdhWPHjqGxse2dJ/V6PSorK1s9iIgcCVdK2Qf7blyHrMJNYWEhQkNDW10LDQ1FU1MTSkvb7oBfsWIFtFqt+REVFWWPUomIOqVa34Tcq3UAOC1la2Nb+m5Sciqgq+NRDM5MVuEGAAShdbOdKIptXjdZunQpdDqd+ZGTk2PzGomIOss0JRXio4a/l7vE1Ti3SD8PxAZ7wSgCBzO4JNyZySrchIWFobCwsNW14uJiqFQqBAYGtvkctVoNX1/fVg8iIkeRxmMX7Mq0aiqZ+904NVmFm8TERCQlJbW69t133yEhIQFubm4SVUVE1HVcKWVf4+Oa+26S00vMI//kfCQNN9XV1UhJSUFKSgqA5qXeKSkpyM7OBtA8pTRnzhzz/QsWLEBWVhYWL16M8+fP48MPP8QHH3yA5557ToryiYhuGZuJ7WtkTCDclAJyr9bhSlmt1OWQjUgabo4dO4b4+HjEx8cDABYvXoz4+Hi88sorAICCggJz0AGAmJgY7Ny5Ez/99BOGDh2KP/3pT3j77be5DJyIZEkURaQVNYcbjtzYh5daheHmoxi4aspZSbrPze23397hsODGjRtvuDZhwgScOHHChlUREdlHcZUeFbWNUAhArxBvqctxGeN6B+PQ5XIkp5diTmK01OWQDciq54aIyJmYpqSig7ygcVNKXI3rGN/SVHwwoxSNPIrBKTHcEBFJJL2QU1JSGBDhC39PN9Q0GHAyu0LqcsgGGG6IiCRibiYOZTOxPSkUgnlDP/bdOCeGGyIiiaQVNS8D5x439jeu5SgG7nfjnBhuiIgkYDCKuFhUDYDTUlIwhZvTuRWoqG2QuBqyNoYbIiIJXCmrgb7JCA83JboHeEpdjssJ13qgd4g3RBHYf6lM6nLIyhhuiIgkYDp2IS7UGwpF22fjkW2Nj2PfjbNiuCEiksAFniklOdPU1N6LpTyKwckw3BARScB0phSPXZDOyJhAuCsVyKuow+XSGqnLIStiuCEikkAa97iRnIe7ErfFtBzFkM6pKWfCcENEZGe1DU3IKm8+tJHTUtIaZ97vhkvCnQnDDRGRnV0sqoYoAkHe7gjyVktdjksz9d0cvFyGhiYexeAsGG6IiOwsjc3EDqNfmC+CvN1R22DAieyrUpdDVsJwQ0RkZzx2wXEoFALG9jKtmmLfjbNguCEisjPTsQtsJnYMpr6b/50pxPaUPBzMKIPByKXhcqaSugAiIlfDaSnH0mRo7rW5XFqDhZ+lAADCtRosm9Yfdw8Ml7Ay6iqO3BAR2VFptR6l1Q0QBKB3qLfU5bi8XWcLsGTrmRuuF+rq8eSmE9h1tkCCquhWMdwQEdmRadSme4AnPN05eC4lg1HE8h2paGsCynRt+Y5UTlHJEMMNEZEdXWsm5pSU1I5klqNAV9/u50UABbp6HMkst19RZBUMN0REdmQ6doHNxNIrrmo/2HTlPnIcDDdERHZ0rZmYy8ClFuKjsep95DgYboiI7MRoFJFeVA2AK6UcwYiYAIRrNRDa+byA5lVTI2IC7FkWWQHDDRGRnWSX16Ku0QB3lQLRgZ5Sl+PylAoBy6b1B4B2A86yaf2hVLT3WXJUDDdERHZiaibuHeINlZI/fh3B3QPDsW7WMIRpW089aT3csG7WMO5zI1Nd+u7KyMjAyy+/jF//+tcoLi4GAOzatQvnzp2zanFERM6Em/c5prsHhmPfi3di829GYdrgCADAkG5aBhsZszjc7NmzB4MGDcLhw4exdetWVFc3zx+fPn0ay5Yts3qBRETOgscuOC6lQkBibCAWTuoFADh0uRzV+iaJq6KusjjcLFmyBH/+85+RlJQEd3d38/U77rgDBw8etGpxRETO5AJXSjm82GBvRAd6osFgxN50HqQpVxaHmzNnzuD++++/4XpwcDDKysqsUhQRkbOpbzTgSmkNAI7cODJBEDCxXygAIOl8kcTVUFdZHG78/PxQUHDjWRsnT55EZGSkVYoiInI2l4qrYRQBP083hPiopS6HOjCpJdz8eKGYRy/IlMXhZubMmXjxxRdRWFgIQRBgNBqxf/9+PPfcc5gzZ44taiQikr3rj10QBC4tdmQJ0f7Qerjham0jTmRflboc6gKLw83rr7+O7t27IzIyEtXV1ejfvz/Gjx+P0aNH4+WXX7ZFjUREssdjF+TDTanAHX2CAQDfp3JqSo4sDjdubm745JNPkJ6ejv/85z/YtGkTLly4gI8//hhKpdIWNRIRyR6bieVlUn/23ciZqqtPjI2NRWxsrDVrISJyWtzjRl7GxwXDTSngckkNMkqqERvsLXVJZAGLw40oivjiiy/w448/ori4GEajsdXnt27darXiiIicwdWaBhRX6QEw3MiFr8YNI2MCse9SKX44X8RwIzMWT0stXLgQs2fPRmZmJry9vaHVals9iIioNdOUVDd/D3iruzxgTnY2qV8IAOD788USV0KWsvi7bNOmTdi6dSvuueceqxSwdu1avPnmmygoKMCAAQOwevVqjBs3rt37P/nkE6xcuRIXL16EVqvF3Xffjb/97W8IDAy0Sj1ERNbGZmJ5mtgvFK/uSMWxK+W4WtMAfy/3mz+JHILFIzdarRY9e/a0yotv2bIFixYtwksvvYSTJ09i3LhxmDp1KrKzs9u8f9++fZgzZw7mz5+Pc+fO4fPPP8fRo0fx+OOPW6UeIiJbSCtiv40cRQV4om+YD4wi8GMaR2/kxOJw8+qrr2L58uWoq6u75RdftWoV5s+fj8cffxz9+vXD6tWrERUVhXXr1rV5/6FDhxAdHY1nn30WMTExGDt2LJ544gkcO3bslmshIrIVrpSSr8ktq6a+56opWbE43Dz00EO4evUqQkJCMGjQIAwbNqzVo7MaGhpw/PhxTJkypdX1KVOm4MCBA20+Z/To0cjNzcXOnTshiiKKiorwxRdf4N577233dfR6PSorK1s9iIjsxWgUkd4SbjgtJT+m3Yr3pJVA32SQuBrqLIt7bh577DEcP34cs2bNQmhoaJd32iwtLYXBYEBoaGir66GhoSgsLGzzOaNHj8Ynn3yCGTNmoL6+Hk1NTfjFL36Bf/7zn+2+zooVK7B8+fIu1UhEdKvyKupQ02CAm1JATJCX1OWQhQZFahHso0ZJlR6HLpdjQlyw1CVRJ1gcbv773//i22+/xdixY61SwM/DkSiK7Qam1NRUPPvss3jllVdw1113oaCgAM8//zwWLFiADz74oM3nLF26FIsXLzZ/XFlZiaioKKvUTkR0M6Ypqdhgb7gpLR4sJ4kpFAIm9QvB5iM5+OF8EcONTFj8nRYVFQVf31ufNw4KCoJSqbxhlKa4uPiG0RyTFStWYMyYMXj++ecxePBg3HXXXVi7di0+/PDDNg/zBAC1Wg1fX99WDyIie+FKKfkzTU19n1oEUeRBmnJgcbh566238MILL+DKlSu39MLu7u4YPnw4kpKSWl1PSkrC6NGj23xObW0tFIrWJZuOfOBfOCJyRGwmlr8xvYKgcVMgX1eP1AL2bcqBxdNSs2bNQm1tLWJjY+Hp6Qk3N7dWny8vL+/011q8eDFmz56NhIQEJCYmYv369cjOzsaCBQsANE8p5eXl4aOPPgIATJs2Db/5zW+wbt0687TUokWLMGLECERERFj6RyEisrk0NhPLnsZNiXG9g5GUWoTvU4sxIIIb1jo6i8PN6tWrrfbiM2bMQFlZGV577TUUFBRg4MCB2LlzJ3r06AEAKCgoaLXnzWOPPYaqqiqsWbMG/+///T/4+fnhzjvvxF//+ler1UREZC36JgMul9YA4B43cje5X2hzuDlfhIWTektdDt2EILrYfE5lZSW0Wi10Oh37b4jIplLzK3HP23vho1Hh9LIpXV5dStIrqdJjxBvfQxSBQ0snIkyrkbokl2PJ7+9O9dxcvzfMz/eM4R4yRERtSyu61kzMYCNvwT5qDI3yAwD8cIEb+jm6ToUbf39/FBc3bz3t5+cHf3//Gx6m60RE1OxaMzGnpJzB9aumyLF1qudm9+7dCAgIAABs2LABUVFR5lVKJkajsd0zoYiIXFEaV0o5lcn9Q/Hmt2nYn1GGGn0TvHjCu8Pq1P+ZCRMmmP973rx5KCgoQEhISKt7ysrKMGnSJDz66KPWrZCISKa4Usq59A7xRvcAT2SX12LvxVLcPTBM6pKoHRbvc9PeDsLV1dXQaNhgRUQEALraRhTo6gEAcaEMN85AEIRrU1M8SNOhdXpMzXSEgSAI+OMf/whPT0/z5wwGAw4fPoyhQ4davUAiIjlKK2oetYnQaqD1cLvJ3SQXk/qF4MP9mdh9oRgGowilgo3ijqjT4ebkyZMAmkduzpw5A3d3d/Pn3N3dMWTIEDz33HPWr5CISIZMxy6wmdi53BYTAB+NCuU1DUjJuYrhPQKkLona0Olw8+OPPwIA5s6di3/84x/cI4aIqAM8dsE5uSkVuKNPCL4+lY+k1GKGGwdlcc/Nhg0bGGyIiG6CzcTOa1J/9t04OovDDRERdUwURXPPDaelnM+EuGCoFAIuFVcjs+V4DXIsDDdERFaWr6tHVX0TVAoBscHeUpdDVqb1cMPIns3TUT9w9MYhMdwQEVmZqZm4Z7AX3FX8MeuMJvZtnppK4m7FDonfdUREVsZmYudn2u/mWNZVVNQ2SFwN/RzDDRGRlaWzmdjpdQ/0RJ9QHxiMIn5KK5G6HPoZhhsiIiszj9xwZ2KnNql/8zFESey7cTgMN0REVtRoMCKjpBoAV0o5O9PU1J60EjQ0GSWuhq7HcENEZEWZpTVoNIjwVqvQzd9D6nLIhoZ080OQtxrV+iYcziyTuhy6DsMNEZEVmaak4kK92zxkmJyHQiFgYt/mqanvuWrKoTDcEBFZ0bUzpbhSyhVc2624GKIoSlwNmTDcEBFZEY9dcC1jewVBrVIgr6LOPGpH0mO4ISKyomt73DDcuAIPdyXG9Q4CwKkpR8JwQ0RkJdX6JuRerQPAkRtXYlo1xYM0HQfDDRGRlZimpEJ91fDzdJe4GrKXO/s1NxWfytWhqLJe4moIYLghIrKaNB674JJCfDQYEuUHAPjhfLG0xRAAhhsiIqsxrZTilJTrmdwyesNTwh0Dww0RkZXw2AXXZVoSvu9SKWobmiSuhhhuiIisQBRFpBVxpZSr6hPqg27+HtA3GbHvYqnU5bg8hhsiIisortKjorYRSoWAXiHeUpdDdiYIAldNORCGGyIiKzBNSUUHekLjppS4GpLC5JapqR/OF8Ng5G7FUmK4ISKygmvNxFwp5apuiw6Aj1qFspoGpORUSF2OS2O4ISKyAu5MTO4qBSb0CQbAVVNSY7ghIrKCNIYbwrWpKfbdSIvhhojoFjUZjLhYXA2Ae9y4utvjQqBUCEgvqkZWWY3U5bgshhsiolt0pawWDU1GeLorEeXvKXU5JCGtpxtGRAcAAL7nbsWSYbghIrpFpimp3qE+UCgEiashqU1s2a2Yp4RLR/Jws3btWsTExECj0WD48OHYu3dvh/fr9Xq89NJL6NGjB9RqNWJjY/Hhhx/aqVoiohuZV0pxZ2LCtb6bI1fKoattlLga1yRpuNmyZQsWLVqEl156CSdPnsS4ceMwdepUZGdnt/uc6dOn44cffsAHH3yAtLQ0bN68GX379rVj1URErXGlFF2vR6AXeod4w2AU8VM6p6akoJLyxVetWoX58+fj8ccfBwCsXr0a3377LdatW4cVK1bccP+uXbuwZ88eXL58GQEBzXOa0dHR9iyZiOgGpmMX2ExMJpP6h+JicTW+P1+MXw6NlLoclyPZyE1DQwOOHz+OKVOmtLo+ZcoUHDhwoM3nfP3110hISMDKlSsRGRmJuLg4PPfcc6irq7NHyUREN6htaEJ2eS0AjtzQNaajGH5KK0ZDk1HialyPZCM3paWlMBgMCA0NbXU9NDQUhYWFbT7n8uXL2LdvHzQaDb766iuUlpbid7/7HcrLy9vtu9Hr9dDr9eaPKysrrfeHICKXl15UDVEEgrzdEeitlrocchBDo/wQ5O2O0uoGHL1SjjG9gqQuyaVI3lAsCK1XFoiieMM1E6PRCEEQ8Mknn2DEiBG45557sGrVKmzcuLHd0ZsVK1ZAq9WaH1FRUVb/MxCR6zI1E3PUhq6nVAi4o0/zqqkkrpqyO8nCTVBQEJRK5Q2jNMXFxTeM5piEh4cjMjISWq3WfK1fv34QRRG5ubltPmfp0qXQ6XTmR05OjvX+EETk8szNxKE8U4pam2Q6SPNCEUSRB2nak2Thxt3dHcOHD0dSUlKr60lJSRg9enSbzxkzZgzy8/NRXV1tvpaeng6FQoFu3bq1+Ry1Wg1fX99WDyIiazHtccNmYvq5cb2D4K5SIKe8DulF1Td/AlmNpNNSixcvxvvvv48PP/wQ58+fx+9//3tkZ2djwYIFAJpHXebMmWO+f+bMmQgMDMTcuXORmpqK5ORkPP/885g3bx48PDyk+mMQkQvjmVLUHk93Fca29NrwrCn7kjTczJgxA6tXr8Zrr72GoUOHIjk5GTt37kSPHj0AAAUFBa32vPH29kZSUhIqKiqQkJCARx55BNOmTcPbb78t1R+BiFxYSZUeZTUNEAQgjhv4URtMq6bYd2NfguhiE4GVlZXQarXQ6XScoiKiW7LvYilmfXAY0YGe+On5O6QuhxxQUWU9Rr7xAwDgyEsTEeKjkbgi+bLk97fkq6WIiOTqAldK0U2E+mowuFvzIpjdPEjTbhhuiIi66Fq/DUeBqX2mqSmeEm4/DDdERF3EYxeoM0zhZt+lEtQ1GCSuxjUw3BARdYHBKCK9iCul6Ob6hfsg0s8D9Y1G7L9UKnU5LoHhhoioC7LLa1HfaIRapUB0oJfU5ZADEwQBk/o171bMJeH2wXBDRNQFpmMXeod6Q6lo+8gYIhPTbsXfny+G0ehSi5QlwXBDRNQFPHaBLDEyJhDeahVKq/U4lVshdTlOj+GGiKgLeOwCWcJdpcCEuGAAwA9cNWVzDDdERF3AYxfIUpP6s+/GXhhuiIgsVN9owJWyGgAcuaHOu6NPCJQKARcKq5BTXit1OU6N4YaIyEIXi6phFAF/TzcE+6ilLodkws/THQk9/AFw9MbWGG6IiCx0/bELgsCVUtR5k82rphhubInhhojIQteaiblSiiwzsWW34sOXy1FZ3yhxNc6L4YaIyEJp3JmYuigmyAuxwV5oMorYk1YidTlOi+GGiMhCF7hSim7BJE5N2RzDDRGRBcprGlBSpQcAxIUy3JDlJrdMTf14oRiNBqPE1TgnhhsiIguYmomjAjzgrVZJXA3JUXx3fwR4uaOyvglHr5RLXY5TYrghIrJAGo9doFukVAi4s2/Lhn6p3K3YFhhuiIgswGMXyBquPyVcFHmQprUx3BARWYDNxGQN43oHw12pQHZ5LS4VV0tdjtNhuCEi6iSjUUR6EUdu6NZ5qVUY3SsQAJDEVVNWx3BDRNRJuVfrUNtggLtSgeggL6nLIZmb1LJq6vtUhhtrY7ghIuok00qp2BBvuCn545NuzcSWvpuTORXm7QXIOvjdSUTUSWwmJmsK13pgUKQWoti85w1ZD8MNEVEnXeCxC2RlptEb9t1YF8MNEVEnpXOlFFmZqe9m38VS1DcaJK7GeTDcEBF1gr7JgMulNQA4LUXWMyDCF+FaDeoaDTiQUSp1OU6D4YaIqBMyimtgMIrw1agQ5quRuhxyEoIgmEdvkrhbsdUw3BARdUJaUfNKqb5hvhAEQeJqyJmYTgn/4XwRjEbuVmwNDDdERJ3AnYnJVkb1DICXuxLFVXqcydNJXY5TYLghIuqENIYbshG1SonxccEAms+aolvHcENE1Anc44Zsybxb8Xn23VgDww0R0U3oahtRoKsHAMQx3JAN3NE3BAoBOF9QidyrtVKXI3sMN0REN5HWsnlfpJ8HfDVuEldDzijAyx0JPQIAAD9w9OaWMdwQEd1EWsuZUuy3IVua1L95t2L23dw6ycPN2rVrERMTA41Gg+HDh2Pv3r2det7+/fuhUqkwdOhQ2xZIRC6PK6XIHkx9N4cul6GyvlHiauRN0nCzZcsWLFq0CC+99BJOnjyJcePGYerUqcjOzu7weTqdDnPmzMHEiRPtVCkRuTI2E5M99Az2Rs8gLzQaRCSnl0hdjqxJGm5WrVqF+fPn4/HHH0e/fv2wevVqREVFYd26dR0+74knnsDMmTORmJhop0qJyFWJomjuueHIDdnatQ392HdzKyQLNw0NDTh+/DimTJnS6vqUKVNw4MCBdp+3YcMGZGRkYNmyZbYukYgI+bp6VNU3QaUQ0DPIW+pyyMmZpqZ2XyhGk8EocTXypZLqhUtLS2EwGBAaGtrqemhoKAoLC9t8zsWLF7FkyRLs3bsXKlXnStfr9dDr9eaPKysru140EbkUg1HE9pO5AIBwrQZKBY9dINsa1t0P/p5uuFrbiGNZVzGqZ6DUJcmS5A3FPz+jRRTFNs9tMRgMmDlzJpYvX464uLhOf/0VK1ZAq9WaH1FRUbdcMxE5v11nCzD2r7ux8tt0AEDO1TqM/etu7DpbIHFl5MxUSgXu6NuyaiqVq6a6SrJwExQUBKVSecMoTXFx8Q2jOQBQVVWFY8eO4emnn4ZKpYJKpcJrr72GU6dOQaVSYffu3W2+ztKlS6HT6cyPnJwcm/x5iMh57DpbgCc3nTBv3GdSqKvHk5tOMOCQTU02nRJ+vgiiyIM0u0KycOPu7o7hw4cjKSmp1fWkpCSMHj36hvt9fX1x5swZpKSkmB8LFixAnz59kJKSgpEjR7b5Omq1Gr6+vq0eRETtMRhFLN+RirZ+pZiuLd+RCgNPbyYbGRcXDHelAllltcgoqZa6HFmSrOcGABYvXozZs2cjISEBiYmJWL9+PbKzs7FgwQIAzaMueXl5+Oijj6BQKDBw4MBWzw8JCYFGo7nhOhFRVx3JLL9hxOZ6IoACXT2OZJYjMZb9EGR93moVRsUGIjm9BN+fL0avEK7Ss5Sk4WbGjBkoKyvDa6+9hoKCAgwcOBA7d+5Ejx49AAAFBQU33fOGiMiaiqvaDzZduY+oKyb3C2kON6lFWDAhVupyZEcQXWxCr7KyElqtFjqdjlNURHSDgxll+PV7h2563+bfjOLIDdlMfkUdRv9lNwQBOPbSJAR6q6UuSXKW/P6WfLUUEZEj6RvuAzdl+0u+BTQvCx8RE2C/osjlRPh5YECEL0Sxec8bsgzDDRFRi7JqPWa9fxiNhrYHtE2RZ9m0/tzzhmzOtKEfD9K0HMMNERGAAl0dpr97EOfyKxHk7Y6X7umHcK2m1T1hWg3WzRqGuweGS1QluRJTuElOL0V9o0HiauRF0oZiIiJHcKW0Bo+8fxh5FXWI0Gqw6fGR6BnsjXljY3AksxzFVfUI8WmeiuKIDdnLwEhfhPqqUVSpx8HLZbijT4jUJckGR26IyKVdKKzEQ+8eRF5FHWKCvPD5k6PRM7j5DCmlQkBibCB+OTQSibGBDDZkV4IgXJua4m7FFmG4ISKXlZJTgRnvHkJJlR59w3zwnycSEennIXVZRGamU8K/527FFmG4ISKXdCCjFI+8dwi6ukYM6+6HLb9NRLAPl9uSY0nsGQhPdyWKKvU4m8eDnzuL4YaIXM73qUV4bMNR1DQYMLZXED6ePxJaTzepyyK6gcZNiXG9gwA0nzVFncNwQ0QuZXtKHp7YdBwNTUZM6R+K9x9NgJeaayvIcbHvxnIMN0TkMjYdysKiLSkwGEU8EB+JtY8Mg8ZNKXVZRB26s28IBAFILahEfkWd1OXIAsMNEbmEdT9l4OVtZyGKwJzEHvjbQ0OgUvJHIDm+QG81hnf3BwD8wKmpTuFYLBE5NVEUsfLbNKz7KQMA8PQdvfD/psRBELism+RjUv9QHMu6is+P58LXw437Lt0Eww0ROS2jUcQrX5/FpkPZAIClU/viCZ6wTDKkVjWPMp7O1WHhZykAms84WzatP3fMbgPHZInIKTUajFj8nxRsOpQNQQBev38ggw3J0q6zBXhtR+oN1wt19Xhy0wnsOlsgQVWOjeGGiJxOfaMBv/vkBLal5EOlELB6xlA8MrKH1GURWcxgFLF8Ryra2r7PdG35jlQYjNzg73oMN0TkVGr0TZi38SiSUovgrlLg3dnD8cuhkVKXRdQlRzLLUaCrb/fzIoACXT2OZJbbrygZYM8NETmNitoGPLbhKFJyKuDlrsT7j96GxNhAqcsi6rLiqvaDTVfucxUMN0TkFIqr6jHngyO4UFgFP083bJw7AkOj/KQui+iWhPhorHqfq+C0FBHJXu7VWkx/5yAuFFYh2EeNLb9NZLAhpzAiJgDhWg06WvCtVikwMNLXbjXJAcMNEcnapeJqPPTOQVwpq0U3fw98sSARfcJ8pC6LyCqUCgHLpvUHgHYDjr7JiFnvH0Zptd5+hTk4hhsikq2zeTrMePcgCnT16BXijS8WjEaPQC+pyyKyqrsHhmPdrGEI07aeegrXavDCXX3g7+mGU7k6PLjuAK6U1khUpWMRRFF0qfVjlZWV0Gq10Ol08PXlMB6RXB27Uo65G4+iqr4JAyN98e+5IxDorZa6LCKbMRhFHMksR3FVfasdii+XVOPRDUeQU16HAC93fPjYbU45LWvJ72+GGyKSnT3pJXji42OobzRiRHQA3n8sAb4aN6nLIpJMSZUe8zYexZk8HTRuCvxr5jBMbDlN3FlY8vub01JEJCv/O1OAx/99FPWNRkyIC8a/541gsCGXF+yjxme/HYXb+wSjvtGI33x0DJ8ezpa6LMkw3BCRbHx+LAdPfXoCjQYR9w4Kx3tzEuDhrpS6LCKH4KVW4b05CXhoeDcYReAPX53Bqu/S4GITNAAYbohIJjbsz8TzX5yGUQRmJETh7V/Hw13FH2FE13NTKrDyV4Px7MTeAIC3d1/CC1+cRqPBKHFl9sWfDETk0ERRxNs/XMTyloMD54+NwV8eHASloqOdP4hclyAIWDw5DiseGASFAHx+PBeP//sYavRNUpdmNww3ROSwRFHE6/89j1VJ6QCA30+Kw8v39oMgMNgQ3cyvR3Rvnrp1U2JPegkeXn8IJVWusRcOww0ROSSDUcSSL8/g/X2ZAIBX/q8/Fk7qzWBDZIGJ/UKx+bejEODljjN5Ojywbj8ul1RLXZbNMdwQkcNpaDLi2c9OYsuxHCgEYOWvBmPe2BipyyKSpaFRftj65Gj0CPRETnkdHlx3AMezrkpdlk0x3LgQg1HEwYwybE/Jw8GMMhiMrtdBT46vrsGA3358DP89XQA3pYA1M4dhekKU1GURyVp0kBe+fHI0hnTT4mptI2a+dwjfnSuUuiyb4SZ+LmLX2QIs35GKAl29+Vq4VoNl0/rj7oHhElZGdE1VfSPmbzyGI1fKoXFT4N3ZCZgQFyx1WUROo7ahCU9/ehK7LxRDIQDLfzkQs0f1kLqsTuEmftTKrrMFeHLTiVbBBgAKdfV4ctMJ7DpbIFFl5Mp+PpJYUqXHzPcO48iVcvioVfh4/kgGGyIr83RXYf3s4fj1iCgYReCP287izW8vON1eOCqpCyDbMhhFLN+Rirb+2opoPmV2+Y5UTO4fxqW1ZDdtjSQqFQIMRhEBXu74aN4IDIzUSlghkfNSKRV44/5BCPP1wN+/T8e/fsxAga4ef31wMNyUzjHm4Rx/CmrXt+cKbxixuZ4IoEBXjyOZ5fYrilxaeyOJph6wZ+7sxWBDZGOCIGDhpN5Y+eBgKBUCtp7Iw7yNR1HtJHvhMNw4GV1tI3adLcAr289i4ls/4XefnOjU83Ku1tq4MqKORxJN1idfZrM7kZ1Mvy0K7z+aAE93JfZeLMWMdw+iuLL9fxDLheThZu3atYiJiYFGo8Hw4cOxd+/edu/dunUrJk+ejODgYPj6+iIxMRHffvutHat1PHUNBiSnl2DF/85j2j/3YeifvsOCTSfw0cEsZJTUdPrrLNt+Fq9+fQ6Xip1//wOSzpHM8g5HEgGOJBLZ2x19QvDZb0chyNsd5/Ircf/aA7L/XSBpz82WLVuwaNEirF27FmPGjMG7776LqVOnIjU1Fd27d7/h/uTkZEyePBlvvPEG/Pz8sGHDBkybNg2HDx9GfHy8BH8C+2s0GHEqpwL7L5XhQEYpTmZXoOFnZ4bEBnthTK8gjI4NwojoANz7z70o1NW3+69lpUJAXaMRGw9cwcYDVzCmVyBmj4rGpH4hUDnJ/Cs5hryKzo0QFlfJ/1+ORHIyuJsftj45Bo9uOILM0hr86p0DeH9OAhKiA6QurUskXQo+cuRIDBs2DOvWrTNf69evH+677z6sWLGiU19jwIABmDFjBl555ZVO3S+3peBGo4gLhVU4kFGK/ZdKcSSzHDUNhlb3RGg1GN0rCKNjAzE6NghhWk2rz5t6HAC0Cjim9uF/zRwGb40KHx3Mwu4LRTDNCERoNZg5sjtm3NYdwT5qG/0JyRU0Goz4/Fgu/vbdBZTXNN70/s2/GYXE2EA7VEZE1yur1mP+v48hJacCapUC/3g4HncPDJO6LACW/f6WbOSmoaEBx48fx5IlS1pdnzJlCg4cONCpr2E0GlFVVYWAgPaTpV6vh15/7SyNysrKrhVsJ6IoIqusFvszSnHgUhkOXi5DeU1Dq3v8Pd2Q2BJkxvQKQnSgZ4db0t89MBzrZg27YXVK2M/2uRkfF4zcq7X49HA2Pjuag3xdPf72XTr+8cNF3DMoHLNH9cDwHv7c/p46zWgUseN0PlYlpSOrrHnURiEA7bXUCGj+ezkiRp7/WiSSu0BvNTb/ZhSe2XwS358vwpOfHMer0wbg0dHRUpdmEcnCTWlpKQwGA0JDQ1tdDw0NRWFh53ZNfOutt1BTU4Pp06e3e8+KFSuwfPnyW6rV1oor681h5kBGGfIq6lp93tNdiRExARgTG4TRvQLRL8wXCguXbd89MByT+4fhSGY5iqvqEeLT/Avk58u/u/l74oW7+2LhpN7YeaYAHx3MwsnsCmxPycf2lHz0D/fF7MQe+OXQCHi6cycBapsoikhKLcJb36UjragKABDo5Y6n7uiFIG93LPwspfm+655j+pu4bFp/bktAJCEPdyXemTUMr3x9Dp8ezsayr8+hQFePF+7qY/HvHqlINi2Vn5+PyMhIHDhwAImJiebrr7/+Oj7++GNcuHChw+dv3rwZjz/+OLZv345Jkya1e19bIzdRUVFWn5YyGMWbBgcTXV0jDl0uw4FLpdifUXZD45abUkB8d39zmBnSzQ/uKul6X87m6fDRwSvYnpIPfVNzf4+PRoWHhkdhdmIPxAR5SVYbOZ79l0qx8ts0nMqpAND8d2XBhFg8NjoaXurmQMwds4kcnyiKWPtTBt78Ng0AcN/QCKz81RDJfh9ZMi0lWbhpaGiAp6cnPv/8c9x///3m6wsXLkRKSgr27NnT7nO3bNmCuXPn4vPPP8e9995r0evaoufmZj+o6xoMOJZVbm4CPpunazUsLwjAwAhtc89MryDcFu3vkKMiFbUN+PxYLjYdzjJPMQDAuN5BmJMYjTv7hvBf3C7seNZV/O3bNBy8XAYA8HBTYu6YaDwxPhZaT7cb7rfkHwREJJ0vjudiyZen0WQUMaZXIN6ZNRw+mhu/p21NFuEGaG4oHj58ONauXWu+1r9/f/zyl79st6F48+bNmDdvHjZv3oz77rvP4te0drgxNeu29ybGhXrjSmntDSuaegZ7YUxsEMb0CsSonoHw83S/5VrsxWgUsediCT4+mIUf04ph+hsU6eeBR0Z1x4yEKAR6swHZVaTmV+Kt79Lww4ViAIC7UoGZI7vjqTt6sRGdyEkkp5fgyU3HUdNgQN8wH/x73giE+mpu/kQrkk242bJlC2bPno133nkHiYmJWL9+Pd577z2cO3cOPXr0wNKlS5GXl4ePPvoIQHOwmTNnDv7xj3/ggQceMH8dDw8PaLWd29HUmuHGYBQx9q+7b7pvB9A8kjM6tmVFU69AhGs9bum1HUVOeS02Hc7Cf47m4Gpt8yoYd6UC9w4Ox+zEHoiP8mMDspO6XFKNv39/ETtO5QNobhR+aHgUnp3UG5F+zvH3m4iuOZunw9yNR1FSpUeknwc2zr0NvUN97Pb6sgk3QPMmfitXrkRBQQEGDhyIv//97xg/fjwA4LHHHsOVK1fw008/AQBuv/32NqerHn30UWzcuLFTr2fNcHMwowy/fu/QTe9bNX0I7o+PdOpf8vWNBnxzugAfH7yCU7k68/WBkb6YMyoavxgaAY2bUsIKyVryKurw9vcX8cWJXPNOwv83OBy/nxyH2GBviasjIlvKKa/FoxuO4HJJDXw1Krz/6G12W90oq3Bjb9YMN9tT8syrPjryj4eH4pdDI2/pteTkVE4FPjqYhR2n89HQ0oCs9XDD9IRumDWqB3oEsgFZjkqq9PjXj5fw6eFs8zTrxL4hWDwlDgMieBYUkau4WtOA+f8+ihPZFXBXKbB6xlDcM8j2CwEYbjogxciNq25IVl7TgP8cy8GmQ1nIvdq8vF0QgAlxwZiT2AMT4m5sQGaTqePR1TZi/d4MfLjvCuoamzeQHNUzAM/f1RfDe/hLXB0RSaG+0YBnN5/Ed6lFEATglf/rj7ljYmz6M5zhpgO26Llp72gD04Zk+16806V/QRuMIn5KK8bHh7LwU1qJ+XpUgAdmjeyB6QlR8Pdy5/JgB1Ojb8LGA1fw7p4MVNY3nxQ8pJsWz9/VF2N6BTr1NCsR3ZzBKOLVr8/h40NZAIDJ/UNxJleHwkrb/AxnuOmArVZLAW1vSLZu1jD+Yr5OVlkNNh3Kwn+O5UJX19yArFYpMKy7v3kJ8fX4PtpffaMBnx7OxtqfLqG0unl37D6hPlg8JQ5T+ocy1BCRmSiKeGfPZfx1V9t701nzZzjDTQek2OeGblTXYMCOU/n46NAVnM3r+EgMjoDZR5PBiC9P5OIf319Efsvf5R6Bnvj9pDhMGxLB956I2mQwihj2pyTzP1h/zlo/w2VxtpQz6ezRBnSNh7sS02+LwkMJ3fDxoSy8sv1cu/eKAAp09TiSWe6SvUu2ZjSK+OZMAf6elI7M0hoAQJivBs9O7I2HErrBjSfDE1EHjmSWtxtsAGl+hjPcWIlSIfAXbxcIggCtR+d2ukwt0PE9tiJRFLH7QjHe/DYNFwqbz38K8HLH726PxaxRPbh0n4g6pbjq5nu9WXKfNTDckORCfDq3y+WfvjmPnWcK8cCwSPzfoIg2t/SnZjdbsXAgoxRvfpuGk9kVAAAftQq/Hd8Tc8fGwFvNHwtE1Hmd/Rne2fusgT/FSHIjYgIQrtW0u+oMaG46bmgy4njWVRzPuorlX6diYr8Q3B8fidv7hEh6sKij6agHLNRXg799l4b9l5qbtzVuCjw2OgYLJvSU1REgROQ4bvYz3NRzY6/N/gA2FEtdDrXozKqzYd39sT0lH1+eyDVPowCAv6cbpg2JwAPDumFIN61Lr+a52VlnJm5KATNHNJ//FGLn82GIyPnYY+UwV0t1gOHGcVmy6iw1vxJfnczFtpR8lFTpzdd7BnvhgfhI3BcfiW7+nnar3RF09qyzXw2LxMJJcYgKcK33h4hsy9YrhxluOsBw49gs3d2yyWDE/owybD2Ri2/PFaK+8drp6yNjAvDgsG6YOigMPhrn78/hjtlEJDXuUCwRhhvnVa1vwv/OFOCrk3k4eLkMpr/ZapUCUwaE4YFhkRjXKwgqJ1nabDSKuFxag1M5FTidW4Ef00qQXV570+e52llnROQcuM8NuSRvtQoPJUThoYQo5FfUYVtKHraeyMOl4mrsOJWPHafyEeStxi+HRuD++EgMiPCVTX+OKIoo0NXjVE4FTuXqcCqnAmfzdKjSN1n8tey5YoGISAocuSGnJooizuTpsPVEHr4+lY/ymgbz5/qE+uD+YZG4b2gkwrSO9Qv/ak0DTufpzKMyKTk6lFbrb7hP46bAwAgtBnfzw6BIX7yx8wJKq/U864yInA6npTrAcOO6Gg1GJKeXYOuJPCSdL0JDU3N/jiAAY2KD8MCwSNw1IAxedt7npbahCefyK82jMqdzK5BVduP0klIhoE+oD4ZEaTGkmx8Gd/NDXKh3q2k2nnVGRM6K4aYDDDcEALq6Ruw8U4CtJ3Jx9MpV83VPdyXuHhCG+4dFYnRsUJsjHLfSMNdoMCKtsAqnW6aWTuVWIL2oCsY2vgtjgrwwuFtzkBkSpUX/cC083G++azDPOiMiZ8Rw0wGGG/q57LJafHUyD1+dzMWV60ZMQn3VuC8+Eg/Ed0OfMB8AlgUHo1HElbIanM7VIaVleulcfiX0TUb8XIiPGkOi/DCkmxZDovwwONLvlnZgtuWKBSIiKTDcdIDhhtojiiJOZFdg64lcfHO6oNVBcAMifNEvzAdfnMi74XmmyLDigUHw93LH6dwKnMppnl6qrL+x4ddHo2qZVmrulRka5edwPT9ERI6G4aYDDDfUGfomA368UIytJ/LwY1oxGg1d+zZxVykwIMLXPLU0pJsfogO9oOAoChGRRbgUnOgWqVVK3D0wHHcPDMfVmgb8c/dFfLj/yk2fF+XvgcTYwJYpJj/0CfOBm5Psq0NEJBcMN0Q34e/ljiFRfp2697m7+nCDPCIiifGflESd0NmN77hBHhGR9BhuiDphREwAwrUatNcpI6B51dSImAB7lkVERG1guCHqBKVCwLJp/QHghoBj+njZtP5cbk1E5AAYbog66e6B4Vg3a9gNy7bDtBru/EtE5EDYUExkgbsHhmNy/zBukEdE5MAYbogspFQISIwNlLoMIiJqB6eliIiIyKkw3BAREZFTYbghIiIip8JwQ0RERE6F4YaIiIicCsMNERERORWGGyIiInIqDDdERETkVBhuiIiIyKm43A7FoigCACorKyWuhIiIiDrL9Hvb9Hu8Iy4XbqqqqgAAUVFREldCRERElqqqqoJWq+3wHkHsTARyIkajEfn5+fDx8YEguN5hh5WVlYiKikJOTg58fX2lLke2+D5aB99H6+D7aB18H63DVu+jKIqoqqpCREQEFIqOu2pcbuRGoVCgW7duUpchOV9fX37zWgHfR+vg+2gdfB+tg++jddjifbzZiI0JG4qJiIjIqTDcEBERkVNhuHExarUay5Ytg1qtlroUWeP7aB18H62D76N18H20Dkd4H12uoZiIiIicG0duiIiIyKkw3BAREZFTYbghIiIip8JwQ0RERE6F4cZFrFixArfddht8fHwQEhKC++67D2lpaVKXJWsrVqyAIAhYtGiR1KXITl5eHmbNmoXAwEB4enpi6NChOH78uNRlyUpTUxNefvllxMTEwMPDAz179sRrr70Go9EodWkOLzk5GdOmTUNERAQEQcC2bdtafV4URbz66quIiIiAh4cHbr/9dpw7d06aYh1YR+9jY2MjXnzxRQwaNAheXl6IiIjAnDlzkJ+fb5faGG5cxJ49e/DUU0/h0KFDSEpKQlNTE6ZMmYKamhqpS5Olo0ePYv369Rg8eLDUpcjO1atXMWbMGLi5ueF///sfUlNT8dZbb8HPz0/q0mTlr3/9K9555x2sWbMG58+fx8qVK/Hmm2/in//8p9SlObyamhoMGTIEa9asafPzK1euxKpVq7BmzRocPXoUYWFhmDx5svlsQmrW0ftYW1uLEydO4I9//CNOnDiBrVu3Ij09Hb/4xS/sU5xILqm4uFgEIO7Zs0fqUmSnqqpK7N27t5iUlCROmDBBXLhwodQlycqLL74ojh07VuoyZO/ee+8V582b1+raAw88IM6aNUuiiuQJgPjVV1+ZPzYajWJYWJj4l7/8xXytvr5e1Gq14jvvvCNBhfLw8/exLUeOHBEBiFlZWTavhyM3Lkqn0wEAAgICJK5Efp566ince++9mDRpktSlyNLXX3+NhIQEPPTQQwgJCUF8fDzee+89qcuSnbFjx+KHH35Aeno6AODUqVPYt28f7rnnHokrk7fMzEwUFhZiypQp5mtqtRoTJkzAgQMHJKxM/nQ6HQRBsMsorcsdnEnN88mLFy/G2LFjMXDgQKnLkZXPPvsMJ06cwNGjR6UuRbYuX76MdevWYfHixfjDH/6AI0eO4Nlnn4VarcacOXOkLk82XnzxReh0OvTt2xdKpRIGgwGvv/46fv3rX0tdmqwVFhYCAEJDQ1tdDw0NRVZWlhQlOYX6+nosWbIEM2fOtMuhpAw3Lujpp5/G6dOnsW/fPqlLkZWcnBwsXLgQ3333HTQajdTlyJbRaERCQgLeeOMNAEB8fDzOnTuHdevWMdxYYMuWLdi0aRM+/fRTDBgwACkpKVi0aBEiIiLw6KOPSl2e7AmC0OpjURRvuEad09jYiIcffhhGoxFr1661y2sy3LiYZ555Bl9//TWSk5PRrVs3qcuRlePHj6O4uBjDhw83XzMYDEhOTsaaNWug1+uhVColrFAewsPD0b9//1bX+vXrhy+//FKiiuTp+eefx5IlS/Dwww8DAAYNGoSsrCysWLGC4eYWhIWFAWgewQkPDzdfLy4uvmE0h26usbER06dPR2ZmJnbv3m2XURuAq6VchiiKePrpp7F161bs3r0bMTExUpckOxMnTsSZM2eQkpJifiQkJOCRRx5BSkoKg00njRkz5oZtCNLT09GjRw+JKpKn2tpaKBStf4QrlUouBb9FMTExCAsLQ1JSkvlaQ0MD9uzZg9GjR0tYmfyYgs3Fixfx/fffIzAw0G6vzZEbF/HUU0/h008/xfbt2+Hj42OeV9ZqtfDw8JC4Onnw8fG5oUfJy8sLgYGB7F2ywO9//3uMHj0ab7zxBqZPn44jR45g/fr1WL9+vdSlycq0adPw+uuvo3v37hgwYABOnjyJVatWYd68eVKX5vCqq6tx6dIl88eZmZlISUlBQEAAunfvjkWLFuGNN95A79690bt3b7zxxhvw9PTEzJkzJaza8XT0PkZEROBXv/oVTpw4gW+++QYGg8H8eycgIADu7u62Lc7m67HIIQBo87FhwwapS5M1LgXvmh07dogDBw4U1Wq12LdvX3H9+vVSlyQ7lZWV4sKFC8Xu3buLGo1G7Nmzp/jSSy+Jer1e6tIc3o8//tjmz8NHH31UFMXm5eDLli0Tw8LCRLVaLY4fP148c+aMtEU7oI7ex8zMzHZ/7/z44482r00QRVG0bXwiIiIish/23BAREZFTYbghIiIip8JwQ0RERE6F4YaIiIicCsMNERERORWGGyIiInIqDDdERETkVBhuiIgAvPrqqxg6dKjUZRCRFTDcEJHLEQQB27Ztk7oMIrIRhhsiIiJyKgw3RCSZ22+/Hc888wwWLVoEf39/hIaGYv369aipqcHcuXPh4+OD2NhY/O9//zM/Z8+ePRgxYgTUajXCw8OxZMkSNDU1tfqazz77LF544QUEBAQgLCwMr776qvnz0dHRAID7778fgiCYPzb5+OOPER0dDa1Wi4cffhhVVVW2fAuIyAYYbohIUv/+978RFBSEI0eO4JlnnsGTTz6Jhx56CKNHj8aJEydw1113Yfbs2aitrUVeXh7uuece3HbbbTh16hTWrVuHDz74AH/+859v+JpeXl44fPgwVq5ciddeew1JSUkAgKNHjwIANmzYgIKCAvPHAJCRkYFt27bhm2++wTfffIM9e/bgL3/5i/3eDCKyCh6cSUSSuf3222EwGLB3714AgMFggFarxQMPPICPPvoIAFBYWIjw8HAcPHgQO3bswJdffonz589DEAQAwNq1a/Hiiy9Cp9NBoVDc8DUBYMSIEbjzzjvNQUUQBHz11Ve47777zPe8+uqrePPNN1FYWAgfHx8AwAsvvIDk5GQcOnTIHm8HEVkJR26ISFKDBw82/7dSqURgYCAGDRpkvhYaGgoAKC4uxvnz55GYmGgONgAwZswYVFdXIzc3t82vCQDh4eEoLi6+aS3R0dHmYGPJ84jIsTDcEJGk3NzcWn0sCEKra6YgYzQaIYpiq2ADAKbB5+uvt/U1jUZjl2rpzPOIyLEw3BCRbPTv3x8HDhzA9bPpBw4cgI+PDyIjIzv9ddzc3GAwGGxRIhE5AIYbIpKN3/3ud8jJycEzzzyDCxcuYPv27Vi2bBkWL14MhaLzP86io6Pxww8/oLCwEFevXrVhxUQkBYYbIpKNyMhI7Ny5E0eOHMGQIUOwYMECzJ8/Hy+//LJFX+ett95CUlISoqKiEB8fb6NqiUgqXC1FREREToUjN0RERORUGG6IiIjIqTDcEBERkVNhuCEiIiKnwnBDREREToXhhoiIiJwKww0RERE5FYYbIiIicioMN0RERORUGG6IiIjIqTDcEBERkVNhuCEiIiKn8v8BYOJm8UbQmlsAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "## Seasonal\n",
     "\n",
-    "gen = huracanpy.diags.track_stats.gen_vals(\n",
-    "    data,\n",
-    ")  # Extract the point of genesis for each track\n",
+    "gen = data.hrcn.get_gen_vals()  # Extract the point of genesis for each track\n",
     "(\n",
-    "    gen.groupby(\"time.month\").count().time  # compute number of tracks per month\n",
-    "    / gen.season.nunique()  # Normalize by number of season\n",
-    ").plot(marker=\"o\")  # plot\n",
-    "# NB: Could be made simpler if only xarray would support grouping by several variables"
+    "    gen.groupby(\"time.month\").count().lon  # compute number of genesis points per month\n",
+    "    / gen.season.hrcn.nunique()  # Normalize by number of season\n",
+    ").plot(marker=\"o\")  # plot"
    ]
   },
   {
@@ -1458,50 +213,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "1843fe4b-299e-43d7-975b-e83e7019c2de",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(array([  6.,  17.,  34.,  51.,  58.,  77.,  89., 235.,  37.,   2.]),\n",
-       " array([ 941.6126709 ,  950.1151001 ,  958.6175293 ,  967.1199585 ,\n",
-       "         975.6223877 ,  984.12481689,  992.62724609, 1001.12967529,\n",
-       "        1009.63210449, 1018.13453369, 1026.63696289]),\n",
-       " <BarContainer object of 10 artists>)"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1500x500 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, axs = plt.subplots(1, 3, sharey=True, figsize=[15, 5])\n",
     "\n",
     "# Duration\n",
-    "huracanpy.diags.track_stats.duration(data.time, data.track_id).plot.hist(ax=axs[0])\n",
+    "data.hrcn.get_track_duration().plot.hist(ax=axs[0])\n",
     "\n",
     "# Maximum wind speed\n",
-    "huracanpy.diags.track_stats.extremum_vals(\n",
-    "    data, varname=\"wind_speed_10m\", stat=\"max\"\n",
-    ").wind_speed_10m.plot.hist(ax=axs[1])\n",
+    "data.wind_speed_10m.groupby(data.track_id).max().plot.hist(ax=axs[1])\n",
     "\n",
     "# Minimum SLP\n",
-    "huracanpy.diags.track_stats.extremum_vals(\n",
-    "    data, varname=\"psl\", stat=\"min\"\n",
-    ").psl.plot.hist(ax=axs[2])"
+    "data.psl.groupby(data.track_id).min().plot.hist(ax=axs[2])"
    ]
   },
   {
@@ -1514,47 +240,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "cdc25eb7-4654-4ea2-8ab9-030967d96a2f",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Compute times from extremum\n",
-    "data[\"time_from_slp_min\"] = huracanpy.diags.lifecycle.time_from_extremum(\n",
-    "    data, varname=\"psl\", stat=\"min\"\n",
-    ")\n",
-    "data[\"time_from_wind_max\"] = huracanpy.diags.lifecycle.time_from_extremum(\n",
-    "    data, varname=\"wind_speed_10m\", stat=\"max\"\n",
-    ")"
+    "data[\"time_from_slp_min\"] = data.hrcn.get_time_from_apex(intensity_var_name = \"psl\", stat = \"min\")\n",
+    "data[\"time_from_wind_max\"] = data.hrcn.get_time_from_apex(intensity_var_name = \"wind_speed_10m\",)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "id": "214a3d42-ff7e-4074-9569-205e50a0c610",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: xlabel='time_from_wind_max', ylabel='wind_speed_10m'>"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Plot with seaborn\n",
     "fig, axs = plt.subplots(2, sharex=True)\n",
@@ -1574,373 +275,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "2e6bf09a-8e4d-4c8e-973e-f580e6f13aa4",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Density of all points\n",
-    "d = huracanpy.diags.track_density.simple_global_histogram(\n",
-    "    data.longitude, data.latitude, N_seasons=data.season.nunique()\n",
-    ")\n",
-    "fig, ax = huracanpy.plot.density.plot_density(\n",
-    "    d,\n",
-    "    cbar_kwargs=dict(label=\"Number of points per 5x5° box per year\"),\n",
-    ")"
+    "d = data.hrcn.get_density(n_seasons = data.season.hrcn.nunique(), bin_size = 5)\n",
+    "huracanpy.plot.density(d, \n",
+    "                      cbar_kwargs=dict(label=\"Number of points per 5x5° box per year\"),\n",
+    "                      )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "bac93d64-4d0d-40db-a4be-f307f05a6369",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(<Figure size 640x480 with 2 Axes>, <GeoAxes: xlabel='lon', ylabel='lat'>)"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Genesis density\n",
-    "gen = huracanpy.diags.track_stats.gen_vals(\n",
-    "    data\n",
-    ")  # Extract the point of genesis for each track\n",
-    "d = huracanpy.diags.track_density.simple_global_histogram(\n",
-    "    gen.longitude, gen.latitude, N_seasons=gen.season.nunique(), bin_size=10\n",
-    ")\n",
-    "huracanpy.plot.density.plot_density(\n",
-    "    d,\n",
-    "    cbar_kwargs=dict(label=\"Number of genesis per 10x10° box per year\"),\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "84e5b558-e992-4d5a-add2-d9bf9279f25d",
-   "metadata": {},
-   "source": [
-    "## Translation speeds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "222af1a5-9d1e-44d7-95b9-ff3dca35dbf0",
-   "metadata": {},
    "outputs": [],
    "source": [
-    "translation_speeds = huracanpy.diags.translation_speed.translation_speed(\n",
-    "    data, lat_name=\"latitude\", lon_name=\"longitude\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "a8e62f51-7110-4261-9c13-5a1b9803ba64",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x32aafe090>"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot one track with its translation speed\n",
-    "## Subset one track\n",
-    "track = huracanpy.subset.sel_id(\n",
-    "    translation_speeds, tid=\"2010-9\", track_id_name=\"track_id\"\n",
-    ")\n",
-    "## Plot\n",
-    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
-    "ax.coastlines()\n",
-    "p = huracanpy.plot.fancyline(\n",
-    "    track.lon, track.lat, track.translation_speed * 3.6, ax=ax, cmap=\"RdBu_r\", vmax=60\n",
-    ")\n",
-    "plt.colorbar(p, label=\"Translation speed / $km.h^{-1}$\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "4907fdb4-8ecc-4999-8dbb-74472f7aaf35",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'translation speed / $m.s^{-1}$')"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Mean translation speed per latitude bins\n",
-    "translation_speeds.groupby_bins(\n",
-    "    \"lat\", bins=np.arange(0, 80, 5)\n",
-    ").mean(  # Compute mean translation speed per latitude bin\n",
-    ").translation_speed.to_series().plot.bar()  # Bar plot\n",
-    "# Plot customization\n",
-    "plt.xlabel(\"Latitude bins / °N\")\n",
-    "plt.ylabel(\"translation speed / $m.s^{-1}$\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e8b2dbec-ddb9-4f1f-850a-5e68244707f5",
-   "metadata": {},
-   "source": [
-    "## Intensification rates"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "56314a7c-0390-43d7-9547-efadd95faadf",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bourdin/Softs/huracanpy/huracanpy/diags/rates.py:29: RuntimeWarning: divide by zero encountered in divide\n",
-      "  rate = (data[rate_var].values[1:] - data[rate_var].values[:-1]) / (\n"
-     ]
-    }
-   ],
-   "source": [
-    "deepening_rate = huracanpy.diags.rates.rate(\n",
-    "    data, rate_var=\"psl\", lat_name=\"latitude\", lon_name=\"longitude\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "211333e2-b971-43b5-96ff-4d721580557f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x32aa62750>"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot one track with its deepening rate\n",
-    "## Subset one track\n",
-    "track = huracanpy.subset.sel_id(deepening_rate, tid=\"1988-15\", track_id_name=\"track_id\")\n",
-    "## Plot\n",
-    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
-    "ax.coastlines()\n",
-    "p = huracanpy.plot.fancyline(\n",
-    "    track.lon,\n",
-    "    track.lat,\n",
-    "    track.rate.rolling(\n",
-    "        mid_record=4, center=True\n",
-    "    ).mean(),  # Rolling mean of the rate for less noisy plot\n",
-    "    ax=ax,\n",
-    "    cmap=\"RdBu_r\",\n",
-    "    vmin=-0.4,\n",
-    "    vmax=0.4,\n",
-    ")\n",
-    "plt.colorbar(p, label=\"Deepening rate / $hPa.h^{-1}$\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "6596143d-4ccd-4646-9eb8-8fceb927dbb8",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bourdin/Softs/huracanpy/huracanpy/diags/rates.py:29: RuntimeWarning: divide by zero encountered in divide\n",
-      "  rate = (data[rate_var].values[1:] - data[rate_var].values[:-1]) / (\n"
-     ]
-    }
-   ],
-   "source": [
-    "intensification_rate = huracanpy.diags.rates.rate(\n",
-    "    data, rate_var=\"wind_speed_10m\", lat_name=\"latitude\", lon_name=\"longitude\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "a1e80a9b-57e4-4764-ba8c-b30f3183b1dd",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x32b94ea90>"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot one track with its deepening rate\n",
-    "## Subset one track\n",
-    "track = huracanpy.subset.sel_id(\n",
-    "    intensification_rate, tid=\"1988-15\", track_id_name=\"track_id\"\n",
-    ")\n",
-    "## Plot\n",
-    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
-    "ax.coastlines()\n",
-    "p = huracanpy.plot.fancyline(\n",
-    "    track.lon,\n",
-    "    track.lat,\n",
-    "    track.rate.rolling(\n",
-    "        mid_record=4, center=True\n",
-    "    ).mean(),  # Rolling mean of the rate for less noisy plot\n",
-    "    ax=ax,\n",
-    "    cmap=\"RdBu_r\",\n",
-    "    vmin=-0.15,\n",
-    "    vmax=+0.15,\n",
-    ")\n",
-    "plt.colorbar(p, label=\"Intensification rate / $m.s^{-1}.h^{-1}$\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "1faa68d7-2746-4cbb-9f73-3b83cf88c284",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 0, 'Maximum deepening rate / $hPa.h^{-1}$')"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Maximum intensification vs. deepening rate\n",
-    "plt.scatter(\n",
-    "    deepening_rate.where(~np.isnan(deepening_rate.rate), drop=True)\n",
-    "    .groupby(\"track_id\")\n",
-    "    .min()\n",
-    "    .rate,\n",
-    "    intensification_rate.where(~np.isnan(intensification_rate.rate), drop=True)\n",
-    "    .groupby(\"track_id\")\n",
-    "    .max()\n",
-    "    .rate,\n",
-    "    color=\"k\",\n",
-    "    s=1,\n",
-    ")\n",
-    "plt.ylabel(\"Maximum intensification rate / $m.s^{-1}.h^{-1}$\")\n",
-    "plt.xlabel(\"Maximum deepening rate / $hPa.h^{-1}$\")"
+    "# Density of all points\n",
+    "d = gen.hrcn.get_density(n_seasons = data.season.hrcn.nunique(), bin_size = 10)\n",
+    "huracanpy.plot.density(d, \n",
+    "                      cbar_kwargs=dict(label=\"Number of genesis per 10x10° box per year\"),\n",
+    "                      )"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b7ec61ec-11b9-4d9d-9808-d3cc0f97cf27",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

From 51a673257421b84f61a5ca1b99c9330296f2180a Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Tue, 26 Nov 2024 15:28:34 +0000
Subject: [PATCH 27/51] Add load function for WiTrack

---
 huracanpy/_data/_load.py   |  5 ++++-
 huracanpy/_data/witrack.py | 24 ++++++++++++++++++++++++
 2 files changed, 28 insertions(+), 1 deletion(-)
 create mode 100644 huracanpy/_data/witrack.py

diff --git a/huracanpy/_data/_load.py b/huracanpy/_data/_load.py
index 642b70b..c63aeb5 100644
--- a/huracanpy/_data/_load.py
+++ b/huracanpy/_data/_load.py
@@ -1,7 +1,7 @@
 import pandas as pd
 
 
-from . import _csv, _TRACK, _netcdf, _tempestextremes
+from . import _csv, _TRACK, _netcdf, _tempestextremes, witrack
 from . import ibtracs
 
 
@@ -52,6 +52,7 @@ def load(
         * **track**
         * **track.tilt**
         * **te**, **tempest**, **tempestextremes**, **uz** (For textual format, not csv)
+        * **witrack**
         * **ibtracs**
         * **csv**
         * **netcdf**, **nc** (includes support for CHAZ & MIT-Open file provided appropriate variable_names)
@@ -169,6 +170,8 @@ def load(
                 tempest_extremes_unstructured,
                 tempest_extremes_header_str,
             )
+        elif source == "witrack":
+            data = witrack.load(filename)
         elif source == "ibtracs":
             data = ibtracs.load(ibtracs_subset, filename, **kwargs)
         elif source == "netcdf":
diff --git a/huracanpy/_data/witrack.py b/huracanpy/_data/witrack.py
new file mode 100644
index 0000000..bc5d90a
--- /dev/null
+++ b/huracanpy/_data/witrack.py
@@ -0,0 +1,24 @@
+from io import StringIO
+
+from . import _csv
+
+
+def load(filename):
+    with open(filename, "rt") as f:
+        line = ""
+        while "DATE" not in line:
+            line = f.readline().strip()
+
+        # Change first two named columns DATE->time and INDEX->track_id
+        # Read others as is (but lower case)
+        varnames = ["time", "track_id"] + [var.lower() for var in line.split()][2:]
+
+        # Reformat the file in place like a CSV
+        # Header line
+        output = [",".join(varnames)]
+
+        # Skip track header lines and collect data as CSV
+        output += [",".join(line.split()) for line in f if not line.startswith("Event")]
+
+    # Use existing CSV load function
+    return _csv.load(StringIO("\n".join(output)), index_col=False)

From bf8351b241890a1c115d00916f905256fb496a36 Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Fri, 6 Dec 2024 11:30:04 +0000
Subject: [PATCH 28/51] Add example WiTRACK file and include in tests

---
 huracanpy/__init__.py                         |    2 +
 huracanpy/_data/__init__.py                   |    5 +-
 .../example_data/event_tracks_2017_ERA5.dat   | 3464 +++++++++++++++++
 tests/test_huracanpy.py                       |    2 +
 4 files changed, 3471 insertions(+), 2 deletions(-)
 create mode 100644 huracanpy/_data/example_data/event_tracks_2017_ERA5.dat

diff --git a/huracanpy/__init__.py b/huracanpy/__init__.py
index f5e4e22..9b4a0c2 100644
--- a/huracanpy/__init__.py
+++ b/huracanpy/__init__.py
@@ -25,6 +25,7 @@
     "example_CHAZ_file",
     "example_MIT_file",
     "example_ERA20C_file",
+    "example_WiTRACK_file",
     "_accessor",
 ]
 
@@ -41,6 +42,7 @@
     example_CHAZ_file,
     example_MIT_file,
     example_ERA20C_file,
+    example_WiTRACK_file,
 )
 from ._basins import basins
 from ._interp import interp_time
diff --git a/huracanpy/_data/__init__.py b/huracanpy/_data/__init__.py
index 940ea75..813facd 100644
--- a/huracanpy/_data/__init__.py
+++ b/huracanpy/_data/__init__.py
@@ -13,6 +13,7 @@
     "example_CHAZ_file",
     "example_MIT_file",
     "example_ERA20C_file",
+    "example_WiTRACK_file",
 ]
 
 import pathlib
@@ -44,5 +45,5 @@
 
 example_CHAZ_file = str(testdata_dir / "CHAZ_sample.nc")
 example_MIT_file = str(testdata_dir / "MIT_sample.nc")
-
-example_ERA20C_file = str(testdata_dir / "ERA20C_TRACK_NATL_tcident.nc")
\ No newline at end of file
+example_ERA20C_file = str(testdata_dir / "ERA20C_TRACK_NATL_tcident.nc")
+example_WiTRACK_file = str(testdata_dir / "event_tracks_2017_ERA5.dat")
diff --git a/huracanpy/_data/example_data/event_tracks_2017_ERA5.dat b/huracanpy/_data/example_data/event_tracks_2017_ERA5.dat
new file mode 100644
index 0000000..9ffbf5d
--- /dev/null
+++ b/huracanpy/_data/example_data/event_tracks_2017_ERA5.dat
@@ -0,0 +1,3464 @@
+ Produced by pyWiTRACK Experimental version 1 
+        DATE INDEX  SIZE     AREA     LON     LAT   RADIUS   MEANV    STDV    MINV    MAXV  LONMAX  LATMAX      SSIan
+Event: 201700021 Start:   2017010106 Length: 11 Area:      61.863 SSIarea:      0.05203
+  2017010106    21    44    2.526  -45.20   42.30   353.49   18.97    1.04   17.14   21.10  -45.00   41.50    0.00153
+  2017010112    21    88    5.167  -43.15   41.37   605.97   18.50    1.48   15.74   22.17  -43.25   41.75    0.00476
+  2017010118    21    45    2.618  -43.86   41.49   166.16   18.05    0.44   17.34   18.98  -44.00   41.75    0.00006
+  2017010200    21    52    3.080  -43.80   39.93   167.20   18.82    1.10   17.02   21.16  -43.75   40.00    0.00505
+  2017010206    21    68    4.143  -42.48   37.90   196.83   17.49    0.76   16.07   18.86  -42.25   37.75    0.00240
+  2017010212    21    87    5.394  -40.73   36.52   261.78   16.45    0.42   15.41   17.02  -41.00   36.50    0.00072
+  2017010218    21    83    5.241  -39.84   35.09   250.34   15.40    0.38   14.38   15.88  -40.25   35.25    0.00011
+  2017010300    21   144    9.194  -38.51   34.35   271.63   15.12    0.64   13.75   16.33  -39.00   34.75    0.00156
+  2017010306    21   356   22.937  -35.45   34.17   476.35   14.97    1.11   12.88   18.15  -35.75   34.75    0.02570
+  2017010312    21   219   14.077  -32.74   34.19   608.35   14.56    0.99   13.06   16.58  -32.75   34.75    0.00840
+  2017010318    21   262   16.629  -37.24   35.22   547.20   15.16    0.93   13.70   17.57  -38.00   37.00    0.00173
+Event: 201700156 Start:   2017010400 Length:  8 Area:      79.213 SSIarea:      0.35526
+  2017010400   156    50    2.886  -90.99   41.71   158.83    8.34    0.72    7.04    9.55  -91.00   42.00    0.00046
+  2017010406   156   153    8.534  -88.01   43.67   286.87    9.95    2.70    6.38   15.25  -87.00   44.25    0.00422
+  2017010412   156   348   19.470  -84.66   43.22   351.87   10.50    2.44    7.09   15.28  -82.00   44.00    0.01361
+  2017010418   156  1025   57.456  -82.30   43.95   630.72    9.81    2.88    6.05   17.28  -76.75   43.75    0.14540
+  2017010500   156   651   36.219  -80.28   44.18   648.95   10.13    3.22    6.23   17.14  -76.75   43.75    0.08583
+  2017010506   156   234   13.158  -77.28   43.51   331.47    9.19    3.11    6.33   18.59  -76.75   43.75    0.07772
+  2017010512   156   169    9.201  -74.95   44.89   478.61    8.99    2.77    6.59   17.39  -76.75   43.75    0.02709
+  2017010518   156    57    3.137  -74.40   44.96   246.31    7.94    1.70    6.52   14.07  -76.75   43.75    0.00094
+Event: 201700192 Start:   2017010418 Length: 17 Area:     347.340 SSIarea:     10.98207
+  2017010418   192    39    2.228    6.43   42.27   167.69   16.19    1.99    9.38   18.11    6.25   42.50    0.00026
+  2017010500   192   203   11.869    6.42   41.66   556.74   16.47    2.38    8.61   20.49    6.25   42.00    0.01728
+  2017010506   192   472   28.291    9.42   38.69   692.79   15.69    2.33    7.65   19.05   10.00   37.50    0.08839
+  2017010512   192  1697   98.637   11.90   42.80  1097.48   11.41    4.51    2.39   18.58    5.00   42.75    0.65003
+  2017010518   192   694   38.586   17.06   43.67   569.10    8.86    3.99    2.45   17.31   18.00   41.00    0.40234
+  2017010600   192   927   51.155   15.91   44.21   754.00    8.77    3.95    2.47   17.81   13.75   44.00    0.76502
+  2017010606   192  1745  101.300   15.86   43.22  1288.44   11.30    4.26    2.65   18.32   11.50   39.75    1.34522
+  2017010612   192  2548  150.657   16.00   43.59  1582.36   10.82    3.81    2.65   17.12   15.00   32.75    3.80134
+  2017010618   192   634   35.927   16.26   42.97   797.75   10.44    4.18    3.18   17.72   17.75   38.75    0.35025
+  2017010700   192   386   22.510   15.95   41.53   609.28   12.59    3.58    3.64   16.86   19.00   39.00    0.11144
+  2017010706   192   166   10.099   18.06   38.67   357.75   14.39    1.58    6.02   16.23   17.50   39.00    0.01311
+  2017010712   192  2190  140.102   17.71   36.58  1673.44   11.92    2.63    3.86   18.39   17.50   39.50    0.69656
+  2017010718   192  1208   76.332   16.87   36.62  1713.50   13.46    1.84    2.95   17.80   18.00   38.00    0.18447
+  2017010800   192  1331   85.263   22.87   33.48  1222.30   13.73    1.78    5.31   17.48   18.00   38.00    0.33729
+  2017010806   192  1037   66.607   28.08   33.27  1270.28   13.48    1.54    5.06   16.31   35.25   34.25    0.20051
+  2017010812   192  2019  133.592   29.78   31.48  1319.41   11.12    2.45    3.77   18.37   35.50   34.75    1.74506
+  2017010818   192   379   24.671   32.45   32.77   905.44   13.07    2.51    4.74   16.07   32.75   32.75    0.27349
+Event: 201700194 Start:   2017010418 Length: 19 Area:     125.945 SSIarea:      0.72176
+  2017010418   194    39    2.476  -41.59   34.58   136.42   15.15    0.17   14.65   15.40  -41.00   35.25    0.00001
+  2017010500   194    93    6.091  -39.30   31.96   254.32   13.89    0.40   12.96   14.80  -39.00   32.25    0.00033
+  2017010506   194   395   25.951  -38.50   33.19   572.73   14.05    1.35   11.87   16.97  -38.75   33.50    0.01526
+  2017010512   194   203   13.468  -36.56   31.00   291.66   13.94    0.93   12.03   16.06  -36.50   31.50    0.01917
+  2017010518   194   421   28.535  -33.76   28.81   441.12   13.05    0.96   11.18   15.63  -34.00   29.25    0.07084
+  2017010600   194   491   33.463  -31.36   27.61   525.38   12.65    0.73   11.03   13.98  -30.50   27.50    0.04457
+  2017010606   194   815   55.425  -31.15   28.96   664.31   12.80    1.08   11.10   15.16  -32.00   30.50    0.08369
+  2017010612   194   607   41.045  -30.44   28.84   655.56   12.91    1.01   11.14   14.83  -31.00   30.50    0.05752
+  2017010618   194   846   56.782  -30.38   29.25   659.81   13.35    1.08   11.17   15.99  -30.75   30.75    0.12659
+  2017010700   194   584   38.882  -31.75   29.60   611.09   13.78    1.11   11.26   15.59  -31.75   29.75    0.10835
+  2017010706   194   743   50.247  -32.81   28.35   655.69   13.16    1.07   11.07   15.01  -32.50   31.50    0.09469
+  2017010712   194   633   42.672  -34.06   28.17   879.44   12.88    0.74   11.03   14.30  -28.50   34.25    0.02630
+  2017010718   194   731   49.614  -34.47   27.86   721.44   12.89    0.84   10.97   14.30  -31.00   32.25    0.06343
+  2017010800   194   494   33.548  -32.99   28.90   731.30   12.31    0.76   10.95   13.79  -32.00   31.25    0.00652
+  2017010806   194   193   13.070  -33.16   28.73   336.23   12.21    0.46   11.28   12.95  -32.50   30.25    0.00093
+  2017010812   194   385   25.988  -32.93   29.79   652.01   12.42    0.81   11.06   13.98  -32.00   32.75    0.00202
+  2017010818   194   228   15.247  -33.34   30.33   341.03   12.71    0.56   11.56   13.66  -33.00   31.75    0.00076
+  2017010900   194   145    9.698  -35.54   29.14   479.92   12.78    0.59   11.56   13.88  -35.00   32.50    0.00055
+  2017010906   194    71    4.810  -37.11   29.35   319.44   12.29    0.45   11.39   13.19  -37.00   29.75    0.00023
+Event: 201700281 Start:   2017010600 Length: 10 Area:     104.179 SSIarea:      0.30255
+  2017010600   281   100    4.496  -60.61   54.46   220.87   10.67    1.53    7.58   14.87  -63.50   54.00    0.00171
+  2017010606   281   757   33.403  -61.97   55.07   762.15   13.60    3.63    7.07   20.24  -58.00   56.00    0.04301
+  2017010612   281  1728   76.939  -61.42   54.77   978.50   15.49    3.72    6.96   21.69  -58.75   55.75    0.12319
+  2017010618   281  1775   78.272  -62.08   54.80  1068.01   16.40    3.56    6.89   21.13  -49.25   55.00    0.12200
+  2017010700   281   775   33.074  -54.22   56.36   629.26   17.80    2.57    8.75   20.76  -50.50   54.25    0.00631
+  2017010706   281   118    4.758  -61.97   59.18   331.02   14.03    5.24    4.31   20.51  -61.75   59.25    0.00388
+  2017010712   281    40    1.668  -63.29   57.64   167.07   10.19    2.47    6.65   15.41  -64.00   57.50    0.00006
+  2017010718   281    74    2.888  -60.65   59.62   177.14   18.33    0.71   16.68   19.61  -60.75   59.75    0.00068
+  2017010800   281   170    6.634  -58.54   59.64   321.42   17.98    1.86    5.86   19.88  -57.00   59.50    0.00145
+  2017010806   281    73    2.894  -55.83   59.36   207.83   18.43    0.35   17.57   19.26  -56.50   59.50    0.00026
+Event: 201700283 Start:   2017010600 Length: 13 Area:      60.344 SSIarea:      1.82011
+  2017010600   283   123    6.648   26.94   45.11   241.31    7.31    0.97    4.93   10.27   27.00   45.00    0.04039
+  2017010606   283   362   19.714   27.50   44.61   367.88    9.44    3.18    3.20   17.65   29.00   44.25    0.61088
+  2017010612   283   511   27.689   28.19   45.09   548.56    9.68    3.51    3.78   18.86   29.25   44.50    0.43154
+  2017010618   283   568   30.700   28.68   44.98   479.58   10.39    3.64    4.88   17.72   29.25   44.50    0.23273
+  2017010700   283   700   39.201   28.36   43.17   777.04   11.56    3.52    4.72   18.03   25.75   39.75    0.11162
+  2017010706   283   620   34.391   28.29   44.15   719.68   11.31    3.37    5.84   17.65   25.50   39.50    0.09856
+  2017010712   283   477   25.923   28.04   45.87   546.86   10.50    2.94    5.24   15.44   28.50   43.00    0.08632
+  2017010718   283   200   10.458   26.96   47.21   273.30    7.53    0.59    6.00    9.28   26.75   47.25    0.06423
+  2017010800   283   161    8.376   27.03   47.34   292.59    7.34    0.56    5.83    8.58   26.00   48.00    0.02823
+  2017010806   283    85    4.425   26.69   47.21   212.69    7.45    0.70    5.39    8.82   26.75   47.25    0.03322
+  2017010812   283    92    4.770   26.01   47.69   206.83    7.52    0.85    5.54    9.16   26.00   47.75    0.03421
+  2017010818   283    50    2.548   22.86   48.73   156.99    6.90    0.73    5.05    8.61   23.00   49.00    0.04216
+  2017010900   283    37    1.884   22.17   48.85   122.05    6.48    0.54    4.78    7.16   23.00   49.00    0.00602
+Event: 201700302 Start:   2017010606 Length: 11 Area:     588.595 SSIarea:     14.46736
+  2017010606   302    49    3.307  -98.56   29.08   162.75    7.72    0.43    6.84    8.37  -98.00   29.00    0.00105
+  2017010612   302    69    4.692  -96.95   28.59   261.31   10.28    1.96    7.24   12.84  -96.50   28.00    0.00082
+  2017010618   302    99    6.870  -97.44   24.45   511.58   12.36    1.81    6.49   15.42  -97.25   24.00    0.00494
+  2017010700   302   694   47.734  -95.54   26.36   792.19   12.39    2.74    5.03   15.64  -96.75   24.00    0.08607
+  2017010706   302  1424   98.029  -95.22   24.10  1229.38   12.44    3.50    2.88   18.33  -97.50   22.50    0.57975
+  2017010712   302  1867  129.558  -93.77   22.59  1623.69   12.88    3.28    2.03   20.05  -96.00   19.75    1.00658
+  2017010718   302  2577  177.979  -92.14   21.25  2583.28   12.55    3.51    2.83   22.21  -75.00   35.00    1.93283
+  2017010800   302  2158  154.098  -92.26   19.29  1444.74   12.77    3.14    2.53   21.71  -95.00   15.25    1.58084
+  2017010806   302  2849  204.903  -92.31   16.38  2280.78   12.25    3.13    2.34   21.70  -95.00   15.25    1.92008
+  2017010812   302  3542  255.866  -91.31   16.00  2554.74   12.35    3.10    2.10   22.14  -95.50   14.50    2.30409
+  2017010818   302  4678  342.133  -89.64   15.73  2798.67   11.56    3.37    2.02   21.01  -95.75   14.50    5.05030
+Event: 201700414 Start:   2017010806 Length:  8 Area:     138.659 SSIarea:      1.30992
+  2017010806   414   267   12.150  -37.45   54.89   468.84   19.79    1.01   18.36   22.10  -38.25   55.50    0.00667
+  2017010812   414   730   31.976  -33.16   56.65   680.40   20.29    1.46   18.63   25.97  -34.25   57.00    0.05176
+  2017010818   414  1041   44.110  -27.41   56.81   562.12   20.99    1.51   18.67   24.89  -27.00   56.75    0.13237
+  2017010900   414  1360   56.271  -25.49   58.45   693.10   21.52    1.78   18.43   26.07  -24.75   59.50    0.29286
+  2017010906   414  1371   56.885  -20.82   58.22   586.06   21.76    2.34   18.18   27.52  -20.75   58.00    0.56664
+  2017010912   414  1164   48.774  -15.89   57.19   537.41   20.88    1.64   17.61   24.12  -14.00   57.75    0.21169
+  2017010918   414   828   35.267  -12.19   56.86   451.22   19.60    1.30   12.32   22.20  -15.00   57.50    0.04653
+  2017011000   414   136    5.923   -8.29   55.46   272.52   17.23    2.67    8.32   19.44   -8.25   55.50    0.00141
+Event: 201700545 Start:   2017011012 Length: 12 Area:     557.453 SSIarea:     13.16273
+  2017011012   545  1728  108.574  -92.27   36.40  1130.53    7.98    1.26    5.27   13.05 -102.00   34.75    0.85073
+  2017011018   545  2446  149.141  -89.30   37.71  1188.57    8.82    1.92    5.20   16.69  -87.00   42.25    3.27377
+  2017011100   545  2720  152.892  -83.62   41.67  1169.74    9.09    2.63    5.02   19.18  -81.75   44.50    2.30839
+  2017011106   545  3514  186.490  -78.65   45.35  1176.50    9.72    2.94    5.51   20.42  -79.75   42.50    2.55655
+  2017011112   545  3266  165.182  -72.96   47.38  1235.03    9.60    2.89    5.46   19.41  -67.50   44.25    1.69841
+  2017011118   545  3074  148.679  -70.81   51.89  1211.52   10.70    3.45    6.33   21.45  -62.25   48.75    0.86247
+  2017011200   545  1578   69.643  -74.35   56.29  1325.28   13.16    3.05    7.03   19.35  -77.00   56.75    0.44829
+  2017011206   545   777   33.003  -77.62   56.47   572.10   14.96    2.46    8.67   19.72  -77.50   56.00    0.33234
+  2017011212   545   767   32.125  -76.27   57.27   431.51   14.61    2.38    7.94   18.86  -78.50   57.50    0.33171
+  2017011218   545   892   36.491  -74.28   58.20   643.36   14.01    2.64    4.28   18.39  -75.25   59.00    0.35255
+  2017011300   545   503   19.875  -69.73   59.52   450.84   14.78    2.86    4.50   20.20  -65.50   60.00    0.13465
+  2017011306   545   206    7.848  -65.61   60.37   306.51   16.17    1.98    6.89   19.89  -65.00   60.50    0.01287
+Event: 201700591 Start:   2017011100 Length: 11 Area:     407.665 SSIarea:      6.73210
+  2017011100   591  3809  266.819  -64.41   25.20  2574.46   13.06    2.60    2.91   23.63  -54.75   32.75    1.26228
+  2017011106   591  2237  152.158  -60.38   27.56  1977.50   14.14    2.66    5.10   20.74  -49.75   38.50    0.58888
+  2017011112   591  1331   90.935  -58.97   28.69  1434.98   13.59    2.16   10.57   18.12  -57.00   31.50    0.22323
+  2017011118   591  1583  109.319  -59.38   28.05  1797.17   13.47    2.12   10.59   18.50  -58.50   28.50    0.69107
+  2017011200   591  2585  181.133  -59.98   27.25  1937.68   12.90    1.94    7.70   17.82  -58.75   29.50    0.91557
+  2017011206   591  2295  162.113  -60.93   25.55  1815.90   12.69    1.74    5.82   16.61  -59.75   29.25    0.70226
+  2017011212   591  2629  186.717  -61.16   25.92  2584.16   12.71    1.59    5.88   16.48  -60.25   28.75    0.67732
+  2017011218   591  1554  108.080  -61.25   25.61  1012.48   13.15    1.39   10.55   15.37  -61.50   27.75    0.58793
+  2017011300   591  1322   92.420  -61.87   24.65   924.25   12.94    1.07   10.56   14.81  -60.25   28.75    0.42838
+  2017011306   591  1449  101.986  -62.37   23.68  1052.10   12.43    0.80   10.38   13.79  -62.75   23.50    0.30283
+  2017011312   591  1655  116.955  -62.27   23.44  1043.79   12.26    0.85    8.41   13.98  -62.00   24.50    0.35234
+Event: 201700606 Start:   2017011106 Length:  9 Area:     106.693 SSIarea:      0.17367
+  2017011106   606    45    3.277  -84.00   19.41   205.83   11.00    0.10   10.81   11.25  -85.00   19.25    0.00001
+  2017011112   606    59    4.267  -79.52   20.46   223.67   11.38    0.30   10.51   11.90  -79.00   20.00    0.00014
+  2017011118   606    68    4.936  -80.54   20.18   162.09   11.35    0.20   10.99   11.72  -80.50   20.50    0.00006
+  2017011200   606    37    2.672  -78.13   20.43   273.19   11.00    0.92    8.68   12.66  -78.25   20.25    0.00110
+  2017011206   606   478   34.531  -77.23   21.62   782.21   11.32    0.99    6.34   12.97  -76.00   21.50    0.00810
+  2017011212   606   128    9.220  -75.12   21.18   389.52   11.18    1.07    6.42   12.53  -75.25   21.25    0.00147
+  2017011218   606   792   58.306  -72.43   19.21   995.13   10.44    2.35    2.76   13.25  -71.75   16.00    0.14259
+  2017011300   606   517   38.448  -70.02   17.16   884.58   11.77    1.16    5.14   14.06  -71.00   17.50    0.02013
+  2017011306   606    76    5.713  -68.40   13.32   288.41   11.09    0.36   10.48   11.71  -70.00   13.25    0.00006
+Event: 201700639 Start:   2017011118 Length: 12 Area:     168.028 SSIarea:      1.10139
+  2017011118   639   960   27.879   -6.13   66.99   620.10   19.00    1.13   16.69   21.16   -8.00   65.25    0.05384
+  2017011200   639   933   28.544   -5.21   65.74   649.01   19.00    1.21   12.75   21.78   -6.25   63.25    0.05534
+  2017011206   639  2007   71.307   -3.90   65.02  1436.11   17.95    2.12    7.20   23.47   -5.25   66.75    0.12101
+  2017011212   639  1300   41.329   -4.90   63.95   970.68   19.46    1.46   15.57   24.63   -4.00   62.25    0.16375
+  2017011218   639  1359   45.673   -4.10   63.72   878.23   19.56    1.35   16.54   23.67   -6.00   62.75    0.17367
+  2017011300   639  1175   42.640   -2.81   61.13   830.08   19.07    2.27    8.45   23.61   -1.75   61.00    0.16600
+  2017011306   639   938   37.489   -1.44   57.65  1039.83   17.52    3.43    7.23   21.76    1.00   59.50    0.17194
+  2017011312   639   699   29.560    0.98   56.45   561.24   17.68    2.74    8.70   21.02    2.00   57.75    0.09537
+  2017011318   639   685   30.154    3.35   54.79   589.90   17.34    2.33    8.46   20.56    3.75   55.25    0.09032
+  2017011400   639   223   10.010    6.70   53.72   314.31   15.60    2.35    7.81   18.40    6.75   53.75    0.00740
+  2017011406   639    36    1.790   10.27   50.06   108.49    7.21    0.22    6.78    7.60   10.00   50.00    0.00030
+  2017011412   639    41    2.099   13.32   48.37   158.26    6.80    0.60    5.57    8.11   13.75   48.25    0.00245
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+  2017011206   679  1825   24.695  -12.71   79.95   502.09   17.11    2.02    2.64   19.75  -10.00   81.25    0.03450
+  2017011212   679  2712   37.600   -1.05   78.73   594.45   16.50    1.44    4.33   18.60   -8.25   80.75    0.01295
+  2017011218   679  1372   20.620   -0.68   78.78   716.95   16.19    0.74   12.34   17.90   -5.50   73.25    0.00128
+  2017011300   679    98    1.830   -3.02   75.95   134.19   16.33    0.10   16.07   16.62   -4.00   75.75    0.00000
+  2017011306   679   137    2.906   -1.61   74.46   259.00   16.56    0.19   16.12   17.01   -1.00   74.50    0.00004
+  2017011312   679   360    7.774    4.52   73.97   378.23   17.31    0.88   16.18   20.38    4.75   73.75    0.00530
+  2017011318   679   538   12.396    2.62   72.71   404.09   18.45    1.66   16.15   23.19    2.75   72.75    0.06206
+  2017011400   679   662   15.277    2.40   72.04   529.95   18.47    1.33   16.17   21.60    1.00   72.75    0.04702
+  2017011406   679   519   12.338    0.76   71.61   422.96   18.32    1.30   16.14   22.37    0.75   71.00    0.02891
+  2017011412   679   434   10.961    2.79   70.76   378.65   18.72    1.43   16.19   22.39    3.00   70.75    0.03343
+  2017011418   679   382   10.446    5.05   69.37   376.12   18.61    1.10   16.67   20.92    4.50   70.00    0.02088
+  2017011500   679   307    8.575    5.84   69.11   332.55   18.11    0.85   16.38   20.03    5.25   69.50    0.00733
+  2017011506   679   218    6.348    8.51   67.96   264.14   17.76    1.32   10.21   19.78    9.00   67.75    0.00551
+  2017011512   679    78    2.407   11.00   66.19   237.54   15.91    2.79    5.66   17.70    7.75   67.50    0.00034
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+  2017011306   742   136    7.691   11.09   43.44   270.92    9.96    3.85    3.83   17.14    9.75   43.50    0.03780
+  2017011312   742   364   21.288   14.01   40.87   485.31   11.56    3.35    3.15   15.75   12.25   40.75    0.22001
+  2017011318   742   375   21.723   11.52   41.40   624.09   15.00    2.55    3.37   17.70    4.75   41.50    0.12505
+  2017011400   742   132    7.767    8.26   40.12   250.72   13.93    3.08    6.30   17.34    7.25   41.75    0.01235
+  2017011406   742    32    1.829    6.61   42.84   184.60   15.12    2.39    7.96   16.95    6.25   42.50    0.00001
+  2017011412   742    77    4.352    2.12   42.52   278.86    8.10    4.31    3.40   17.57    3.75   42.50    0.01183
+  2017011418   742   192   11.137    5.66   41.80   338.54   16.73    1.36   12.41   19.11    5.75   42.00    0.00289
+  2017011500   742   217   12.812    6.04   40.21   289.92   16.48    1.40   13.73   19.13    5.75   41.25    0.01038
+  2017011506   742   247   14.815    7.17   38.82   443.46   16.24    1.47    7.58   18.42    7.00   39.25    0.04779
+  2017011512   742   425   25.685    6.59   38.39   656.70   13.11    3.86    4.02   17.62    4.75   41.25    0.03849
+  2017011518   742   229   13.702    4.84   39.29   355.43   15.23    1.42    7.93   17.88    3.75   42.00    0.00792
+  2017011600   742    46    2.833    7.72   36.89   216.58   10.73    3.72    5.31   15.25    7.00   37.25    0.00168
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+  2017011606   866   114    7.101  -54.23   36.76   301.70   17.78    1.02   15.97   20.15  -55.00   37.25    0.00400
+  2017011612   866   173   10.676  -51.15   37.71   408.15   18.11    1.63   15.79   22.64  -51.25   38.25    0.02472
+  2017011618   866   147    9.070  -48.08   37.74   301.11   17.58    1.08   15.65   21.15  -48.25   38.50    0.00690
+  2017011700   866    87    5.267  -45.67   38.96   273.50   18.06    1.17   16.02   20.68  -45.50   39.25    0.00503
+  2017011706   866   192   11.513  -43.55   39.65   325.23   18.28    1.62   16.12   23.78  -43.75   39.75    0.03146
+  2017011712   866   377   22.206  -41.64   40.26   433.54   19.04    1.66   16.25   24.10  -41.75   40.00    0.08276
+  2017011718   866   477   27.959  -40.49   40.93   396.33   19.62    2.09   16.10   25.37  -41.00   41.50    0.20286
+  2017011800   866   579   33.619  -37.68   41.34   435.66   19.64    1.85   16.32   23.66  -37.75   41.25    0.21964
+  2017011806   866   557   31.608  -33.50   43.08   478.67   19.24    1.40   16.40   22.87  -32.75   44.00    0.09736
+  2017011812   866   419   22.506  -31.05   47.37   555.42   19.01    1.27   16.96   22.40  -31.75   48.00    0.02547
+  2017011818   866   121    5.835  -31.45   51.37   205.33   19.21    0.62   18.35   20.60  -31.75   51.25    0.00126
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+  2017011612   876   236   13.007   11.98   44.33   481.08    8.09    3.20    2.55   14.47   14.25   44.75    0.05630
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+  2017011700   876   186   10.198   13.54   44.97   370.60   10.06    4.22    2.78   18.23   14.25   44.75    0.13035
+  2017011706   876   473   26.382   11.81   44.20   549.59   10.96    4.39    2.86   18.55   14.25   44.75    0.61073
+  2017011712   876   625   34.829   11.56   44.20   543.65   10.54    4.66    2.42   19.28    9.75   41.50    1.24521
+  2017011718   876   757   43.186   11.74   44.12   963.53   12.64    3.93    2.72   19.35   14.25   44.75    0.62854
+  2017011800   876   486   27.234   11.50   44.01   494.36   11.63    4.28    2.68   18.64   14.25   44.75    0.52769
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+  2017011812   876   408   22.733   12.16   44.49   485.57    9.72    3.67    2.64   18.59   14.25   44.75    0.38623
+  2017011818   876   287   16.021   12.95   44.44   440.44   10.91    3.61    2.83   18.92   14.25   44.75    0.14194
+  2017011900   876   107    5.856   13.92   45.13   224.81   10.40    3.61    2.52   17.98   14.25   44.75    0.04699
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+  2017011912   876    62    3.367   13.25   45.55   179.64    8.35    2.87    3.38   14.92   14.25   44.75    0.01190
+Event: 201700904 Start:   2017011618 Length:  8 Area:      91.629 SSIarea:      0.95431
+  2017011618   904   100    3.079  -95.63   66.49   125.21   12.49    0.61   10.89   13.95  -95.25   66.25    0.00141
+  2017011700   904   103    3.143  -91.28   67.27   204.30   11.87    0.60    9.98   13.24  -91.25   67.25    0.00092
+  2017011706   904   111    3.691  -84.55   65.02   227.37   12.92    0.58   11.24   14.24  -85.00   65.00    0.00533
+  2017011712   904   656   22.674  -79.50   64.17   691.92   13.94    1.13   10.36   16.80  -78.25   62.75    0.03383
+  2017011718   904  1872   62.612  -76.63   64.10   998.99   14.19    1.94    4.04   20.64  -76.50   62.50    0.52666
+  2017011800   904   938   27.863  -72.80   66.69   727.43   12.34    1.97    4.05   16.53  -71.25   64.25    0.17571
+  2017011806   904   637   19.887  -68.00   65.74   578.83   11.76    3.02    1.82   16.94  -67.50   64.50    0.19819
+  2017011812   904   112    3.317  -67.10   67.53   206.52    8.55    3.94    2.05   13.91  -69.75   68.00    0.01226
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+  2017011806  1019   174    5.894    7.74   63.77   214.32   16.62    3.03    3.23   18.60    6.50   63.50    0.00076
+  2017011812  1019   876   27.861    9.22   65.88   534.38   17.21    2.71    3.17   20.42   10.50   68.25    0.01786
+  2017011818  1019  1216   38.431   15.59   66.13   646.77    9.00    3.36    3.67   18.88   13.25   67.00    0.46278
+  2017011900  1019  1507   48.025   26.78   65.68   665.15    8.18    1.66    5.86   15.04   24.25   65.00    0.54520
+  2017011906  1019  2201   63.702   15.04   66.78   923.84   15.37    4.55    4.06   20.66   10.00   64.50    0.74577
+  2017011912  1019  3413   97.676   17.55   66.50  1068.83   12.59    5.16    3.29   23.87   21.00   74.75    1.35662
+  2017011918  1019  4240  121.226   27.88   68.49  1170.39   11.15    5.00    3.54   27.81   27.75   75.00    1.19293
+  2017012000  1019  2955   84.465   35.55   67.27  1201.99   11.60    4.74    5.98   23.93   30.50   76.25    0.83698
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+  2017011812  1036    35    2.090    4.20   39.34   111.37   14.27    1.08    9.66   15.69    4.50   40.00    0.00012
+  2017011818  1036    32    1.959   -0.67   37.86   205.33   11.52    1.89    7.51   14.94   -2.25   36.50    0.00190
+  2017011900  1036   104    6.289    0.54   38.16   343.93   12.57    1.60    7.68   15.80   -2.25   36.50    0.00311
+  2017011906  1036   151    9.062    0.17   38.90   376.35   13.20    2.40    5.62   16.01    0.50   39.25    0.07721
+  2017011912  1036   163    9.645    0.61   39.89   295.38   12.14    3.61    3.45   17.24    0.25   39.50    0.16950
+  2017011918  1036   127    7.479    0.49   40.10   283.67   11.93    3.52    4.11   16.98    0.75   40.00    0.13711
+  2017012000  1036    47    2.748    1.78   41.01   187.52   11.59    2.94    4.59   14.90    1.25   40.50    0.00716
+  2017012006  1036    53    3.099    1.68   40.96   177.64   11.97    2.97    4.30   15.17    1.50   40.75    0.00821
+  2017012012  1036    30    1.752    1.67   40.98   111.91   12.22    1.83    7.09   14.47    1.50   40.75    0.00286
+  2017012018  1036    31    1.808    2.26   41.24   168.15   12.59    1.82    6.34   14.32    2.00   41.00    0.00606
+  2017012100  1036    59    3.465    1.74   40.82   243.09   12.39    1.81    7.54   14.10    2.50   41.00    0.00448
+Event: 201701145 Start:   2017012012 Length: 11 Area:     140.623 SSIarea:      0.62459
+  2017012012  1145   160    9.150  -52.42   42.26   295.79   18.46    1.07   16.21   20.28  -53.25   41.50    0.01237
+  2017012018  1145   157    8.943  -53.19   42.80   297.35   18.71    1.03   16.56   21.09  -53.00   43.00    0.01487
+  2017012100  1145   557   31.260  -52.68   43.17   612.70   18.74    1.05   15.48   21.37  -52.75   43.25    0.04988
+  2017012106  1145  1003   57.071  -52.03   43.11   944.21   18.47    1.34   10.11   21.57  -52.50   43.25    0.09479
+  2017012112  1145  1138   63.911  -50.72   43.12   820.40   18.89    1.66    8.89   21.85  -51.00   42.75    0.17886
+  2017012118  1145  1148   63.818  -46.94   43.21   914.25   19.40    1.70   10.45   23.67  -45.00   43.75    0.19715
+  2017012200  1145   877   47.941  -44.15   44.44   766.36   19.63    1.42   16.39   22.61  -40.75   45.75    0.06269
+  2017012206  1145   652   35.246  -41.15   45.32   562.81   19.58    0.82   17.36   21.34  -39.75   46.00    0.01365
+  2017012212  1145   119    6.350  -39.06   46.26   252.96   19.11    0.30   18.42   19.91  -39.75   46.25    0.00011
+  2017012218  1145   178    9.193  -41.71   47.95   436.33   19.29    0.44   17.94   20.02  -42.25   48.00    0.00023
+  2017012300  1145    48    2.432  -37.76   49.04   172.65   19.09    0.22   18.56   19.45  -38.25   48.75    0.00001
+Event: 201701146 Start:   2017012012 Length: 13 Area:     110.003 SSIarea:      3.29720
+  2017012012  1146   145    9.162    7.04   34.70   370.95    8.23    1.73    5.48   11.87    7.00   34.25    0.11893
+  2017012018  1146   164   10.376   11.16   36.09   477.65   13.15    2.07    7.04   16.21   11.50   36.75    0.01168
+  2017012100  1146   570   35.450    8.50   37.20   895.69   14.45    2.21    6.78   19.05    6.00   38.75    0.13940
+  2017012106  1146  1037   63.392    5.92   39.03  1394.65   14.57    2.30    4.94   19.09   11.00   37.50    0.36788
+  2017012112  1146  1002   60.859    4.82   39.23  1359.97   13.49    3.54    3.12   19.67    5.25   39.75    0.82581
+  2017012118  1146   715   42.497    2.06   39.45  1164.90   14.38    3.86    2.75   20.01    5.00   40.50    0.84705
+  2017012200  1146   370   21.832    0.94   39.62   873.71   14.54    3.86    4.10   19.61    0.75   40.00    0.55415
+  2017012206  1146   336   19.812    1.09   39.65   813.10   14.23    3.73    3.07   19.28    6.25   42.50    0.29950
+  2017012212  1146   187   11.378    0.64   38.49   486.46   11.13    3.42    4.53   15.86    0.25   38.25    0.09970
+  2017012218  1146    90    5.387    0.49   38.95   354.67   12.61    2.48    4.62   15.20    0.50   39.00    0.02371
+  2017012300  1146    26    1.559    0.30   38.87   138.90   12.13    1.16    8.65   13.31    0.50   39.25    0.00154
+  2017012306  1146    60    3.547    1.81   40.47   305.90   12.42    2.02    4.94   15.22    3.00   41.25    0.00537
+  2017012312  1146    61    3.609    2.29   40.33   278.19   13.49    1.32    8.95   15.26    3.00   40.75    0.00247
+Event: 201701224 Start:   2017012200 Length: 10 Area:      34.762 SSIarea:      0.33300
+  2017012200  1224    51    3.354   17.16   31.51   141.84   12.34    1.10    9.19   13.51   18.00   32.00    0.00065
+  2017012206  1224   149    9.531   15.85   36.33   591.33   13.00    1.20    4.57   14.06   16.75   35.50    0.00519
+  2017012212  1224    51    3.156   15.32   37.66   295.14   12.30    2.15    4.94   13.94   17.00   36.00    0.00736
+  2017012218  1224   234   14.541   15.38   37.52   570.50   13.50    1.78    5.37   15.40   15.00   36.50    0.08736
+  2017012300  1224   255   15.872   15.68   37.54   609.21   13.86    1.35    4.93   15.29   18.25   35.75    0.05350
+  2017012306  1224   239   14.805   17.07   37.44   478.62   14.27    1.66    6.86   16.10   18.25   36.50    0.03986
+  2017012312  1224   243   15.058   17.85   37.32   430.02   14.70    1.29    7.38   16.78   17.75   37.25    0.03770
+  2017012318  1224   223   13.732   17.64   37.64   533.05   14.72    2.05    6.29   17.52   16.75   38.00    0.09149
+  2017012400  1224    98    5.996   19.30   37.34   289.33   14.42    1.53    6.35   16.48   20.00   36.75    0.00904
+  2017012406  1224    27    1.624   18.89   38.78   131.02   14.40    0.68   13.22   15.79   19.00   38.75    0.00084
+Event: 201701241 Start:   2017012206 Length: 11 Area:     197.698 SSIarea:      0.34889
+  2017012206  1241    94    7.053  -19.57   13.79   208.57   10.30    0.30    9.50   10.68  -19.75   14.50    0.00024
+  2017012212  1241  1272   94.842  -17.94   14.93  1018.04    9.66    2.14    4.37   12.10  -25.25   17.00    0.04484
+  2017012218  1241   543   40.570  -21.11   13.77   685.16   10.72    0.45    8.33   12.20  -25.25   17.00    0.00288
+  2017012300  1241   546   40.718  -20.99   14.78   606.03   10.85    0.43    9.68   11.84  -25.25   16.75    0.00272
+  2017012306  1241  1041   77.568  -20.03   13.76   847.52   10.72    0.93    6.25   12.18  -20.50   19.75    0.01343
+  2017012312  1241  2364  177.502  -19.71   12.38  1109.76   10.02    1.84    3.93   12.76  -25.25   17.00    0.24441
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+  2017021418  2659    24    1.796   23.51   14.46   113.20    7.12    0.65    5.83    8.14   23.75   14.75    0.00030
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+  2017021400  2725  2866  168.578  -65.01   40.94  1190.31   18.42    3.24    6.29   24.34  -64.75   39.75    1.39426
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+  2017021512  2725   290   16.740  -52.02   42.57   364.63   17.58    0.36   16.24   18.43  -53.00   40.00    0.00095
+  2017021518  2725    61    3.437  -51.27   42.93   159.05   16.92    0.28   16.18   17.50  -51.50   43.00    0.00015
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+  2017022800  3356   560   29.767  -11.16   47.63   748.90   17.50    1.31   14.42   21.04  -10.75   47.50    0.03972
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+  2017022818  3356    81    4.243   -4.25   47.47   178.33   15.37    1.63    9.01   16.75   -5.50   47.75    0.00063
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+  2017040200  5360   219   12.373  -37.29   43.18   293.53   18.47    0.56   17.09   19.65  -40.00   43.50    0.00188
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+  2017040100  5457    48    3.589  -11.04   14.53   264.15    5.92    0.86    4.74    8.40  -12.50   16.00    0.00110
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+  2017040112  5457   528   39.213  -10.77   14.64   854.41    7.75    1.50    3.78   10.60  -12.75   16.25    0.39788
+  2017040118  5457   194   14.499  -11.88   14.69   334.65    6.57    1.10    4.76    9.12  -12.50   15.75    0.02248
+Event: 201705488 Start:   2017033118 Length: 10 Area:      58.916 SSIarea:      0.64246
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+  2017040106  5488   325    9.692 -102.35   67.43   295.15   12.36    0.79    9.02   13.51 -102.00   67.50    0.00742
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+Event: 201714585 Start:   2017090212 Length: 13 Area:     121.650 SSIarea:      0.65884
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+  2017092300 14712    34    1.996  -71.26   40.81   145.57   15.16    1.52    8.95   16.37  -71.00   40.00    0.00008
+Event: 201714885 Start:   2017090706 Length:  9 Area:      16.780 SSIarea:      1.51468
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+  2017111512 18643    36    1.954   13.99   45.39   124.23    9.38    3.21    3.41   15.60   14.25   44.75    0.00474
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+  2017111618 18702    60    4.592  -83.46    7.87   158.54    6.94    1.38    2.07    8.94  -83.25    7.75    0.02008
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+  2017111912 18841    65    2.212  -84.80   63.86   128.32   13.23    0.59   11.74   14.23  -84.25   63.75    0.00284
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+  2017112000 18867    95    5.119  -70.22   45.54   176.03    7.51    0.54    6.20    8.74  -70.00   45.75    0.00427
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+  2017112318 18894   166    3.417  -83.79   74.82   187.63   11.67    2.53    6.10   16.05  -82.75   74.00    0.10755
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+  2017112300 18926    92    4.020  -13.48   55.40   176.21   19.60    0.91   18.18   21.29  -13.75   55.25    0.00324
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+  2017112106 18971   616   13.860  -54.75   73.80   561.72   14.41    4.66    1.71   20.57  -55.00   74.50    0.12062
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+  2017112206 18971   409    9.508  -54.00   73.03   497.31   13.20    5.09    1.65   21.21  -49.50   70.00    0.04169
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+  2017112106 18972   117    2.480  -84.75   73.88   189.71   12.53    2.59    5.90   16.41  -82.75   74.00    0.00759
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+  2017112200 18972   804   14.759  -86.40   75.72   612.82   10.70    3.98    2.86   19.40  -86.50   76.25    0.29950
+Event: 201718985 Start:   2017112006 Length:  9 Area:      43.814 SSIarea:      0.26500
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+  2017112118 18985   154   10.182  -20.97   31.61   314.70   14.15    1.60   11.67   18.21  -20.75   32.00    0.10236
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+  2017112206 18985    65    4.228  -17.86   32.73   207.71   13.04    1.06    8.47   14.74  -18.25   32.50    0.00356
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+  2017112106 19005   118    8.284  -37.62   25.08   413.18   11.95    0.80   10.84   13.96  -36.75   25.50    0.01362
+  2017112112 19005    67    4.697  -38.96   24.67   195.53   11.86    0.53   10.88   12.95  -39.00   24.50    0.00411
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+  2017112200 19005   140    9.882  -41.18   23.38   427.20   11.81    0.75   10.72   13.62  -41.25   23.25    0.01945
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+  2017112218 19005   252   17.937  -44.27   22.52   380.93   11.56    0.55   10.64   12.58  -44.50   22.50    0.01881
+Event: 201719095 Start:   2017112200 Length: 18 Area:     298.869 SSIarea:      6.17473
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+  2017112212 19095   139    4.719    9.20   62.72   387.10    9.55    4.68    2.92   17.69   10.00   64.50    0.00345
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+Event: 201719590 Start:   2017120406 Length:  9 Area:     130.073 SSIarea:      0.37276
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+  2017120412 19590   879   61.073    0.71   26.31  1023.18    9.52    0.86    7.83   12.39    3.00   26.75    0.07946
+  2017120418 19590    46    3.175    3.90   26.60   154.82    9.62    0.56    8.10   10.33    4.25   26.75    0.00012
+  2017120500 19590    54    3.717    3.24   27.10   176.55    9.93    0.36    8.93   10.62    3.75   27.50    0.00015
+  2017120506 19590    92    6.315    3.20   27.41   196.27   10.24    0.53    8.97   11.43    3.50   27.50    0.00301
+  2017120512 19590  1743  120.797    0.82   27.96  1840.40    9.58    0.99    6.08   13.40    2.25   28.50    0.25628
+  2017120518 19590   324   22.066    2.97   27.81   444.82    9.74    0.84    8.16   11.89    2.50   28.25    0.01279
+  2017120600 19590   386   26.393    2.42   27.73   664.90    9.58    0.89    6.46   11.87    2.25   28.25    0.01357
+  2017120606 19590   308   20.990    2.98   27.98   585.45    9.48    0.83    6.41   11.77    2.25   28.25    0.00700
+Event: 201719614 Start:   2017120418 Length: 11 Area:     230.630 SSIarea:      1.59959
+  2017120418 19614    68    4.343  -60.85   34.21   147.52   16.55    0.49   15.44   17.26  -61.25   34.50    0.00045
+  2017120500 19614   469   30.164  -57.47   34.23   505.31   17.01    1.80   13.56   22.34  -58.00   36.00    0.07026
+  2017120506 19614   983   64.010  -54.40   31.98   741.55   16.34    1.60   12.54   19.70  -54.75   32.50    0.19997
+  2017120512 19614  1443   94.132  -53.04   31.71   978.93   16.28    1.82   11.81   20.64  -53.50   32.75    0.41933
+  2017120518 19614  1664  108.946  -51.17   30.82  1223.28   15.63    1.94   11.50   20.24  -51.75   31.25    0.50335
+  2017120600 19614  1570  101.068  -49.07   30.69  1322.79   15.84    1.93   11.49   19.98  -51.75   39.00    0.18112
+  2017120606 19614  1542   98.514  -47.63   34.73   949.19   15.78    2.39   11.37   21.19  -48.00   38.75    0.07510
+  2017120612 19614  1138   70.202  -47.17   38.45  1078.75   17.40    2.20   12.32   21.71  -46.75   39.25    0.10205
+  2017120618 19614  1026   64.239  -46.55   37.77  1039.67   16.54    2.27   12.10   20.75  -46.00   42.50    0.03880
+  2017120700 19614   655   41.022  -46.61   37.53   981.07   16.36    1.62   12.37   20.00  -46.75   39.50    0.00891
+  2017120706 19614    37    2.328  -44.18   35.52   120.27   16.09    0.49   15.08   16.95  -44.25   35.75    0.00026
+Event: 201719636 Start:   2017120506 Length:  9 Area:     411.251 SSIarea:      2.61434
+  2017120506 19636    63    4.501   11.00   22.80   325.40    9.55    0.84    7.38   11.26   11.50   22.50    0.00515
+  2017120512 19636  1470  104.293   14.62   23.13  1144.05    9.08    1.16    6.56   13.40   15.50   22.00    0.36706
+  2017120518 19636   202   14.435   13.06   22.46   394.92    9.46    1.11    7.34   12.53   15.50   21.75    0.01251
+  2017120600 19636   314   22.475   14.23   22.23   533.32    9.25    1.67    6.57   14.38   15.50   21.75    0.07525
+  2017120606 19636   269   19.186   14.45   22.27   518.92    9.80    1.77    7.49   15.33   15.25   21.75    0.15695
+  2017120612 19636  5610  396.206   12.75   23.79  2406.76    9.30    1.34    5.56   14.86   18.75   19.00    1.96331
+  2017120618 19636   236   16.747   15.84   23.03   329.36    8.95    1.21    6.72   12.57   15.25   22.25    0.02544
+  2017120700 19636   152   10.804   14.27   22.72   394.46    8.94    1.06    7.42   11.77   15.25   22.25    0.00398
+  2017120706 19636    91    6.460   15.52   22.85   248.54    8.90    1.20    7.52   11.97   15.25   22.25    0.00469
+Event: 201719693 Start:   2017120600 Length: 18 Area:      50.794 SSIarea:      0.29768
+  2017120600 19693   246   17.286  -19.70   24.60   383.59   11.49    0.29   10.44   11.94  -18.75   23.75    0.00155
+  2017120606 19693   481   33.845  -18.43   25.75   664.60   11.71    0.29    9.48   12.47  -16.00   26.75    0.01197
+  2017120612 19693   232   16.159  -17.89   26.61   464.20   11.68    0.44   10.45   12.83  -17.75   26.75    0.02108
+  2017120618 19693   212   14.733  -17.92   26.54   323.17   11.92    0.56   10.17   13.08  -17.75   26.75    0.03063
+  2017120700 19693   425   29.688  -18.14   26.07   468.56   12.29    0.58   10.45   13.39  -17.50   26.25    0.07378
+  2017120706 19693   438   30.529  -18.12   26.13   562.20   11.93    0.37   10.29   12.95  -17.50   26.25    0.03124
+  2017120712 19693   217   15.102  -18.67   26.15   340.37   11.57    0.32   10.38   12.16  -19.50   26.25    0.00781
+  2017120718 19693    80    5.550  -17.85   26.69   340.98   10.91    0.19   10.30   11.27  -21.00   26.00    0.00025
+  2017120800 19693   265   18.489  -18.57   25.60   350.52   11.80    0.39    9.90   12.41  -18.50   24.00    0.01149
+  2017120806 19693   473   33.027  -18.15   26.08   517.90   12.07    0.45    9.53   13.32  -17.00   26.50    0.05105
+  2017120812 19693   304   21.177  -18.73   26.07   550.89   11.52    0.27   10.12   12.04  -19.50   26.00    0.00650
+  2017120818 19693    25    1.753  -19.57   24.83   108.62   11.03    0.12   10.73   11.21  -19.00   24.00    0.00000
+  2017120900 19693   270   18.885  -18.89   25.27   345.97   11.73    0.35   10.56   12.48  -18.75   23.75    0.00812
+  2017120906 19693   433   30.453  -19.36   24.78   470.20   12.10    0.54    9.89   13.25  -19.50   23.50    0.03854
+  2017120912 19693   223   15.626  -19.62   25.28   424.92   11.39    0.27   10.36   11.91  -19.75   25.25    0.00201
+  2017120918 19693    56    3.908  -18.85   25.79   234.70   10.95    0.24   10.41   11.55  -18.25   24.00    0.00003
+  2017121000 19693   284   20.019  -20.82   24.46   409.76   11.32    0.21   10.55   11.68  -18.50   23.50    0.00030
+  2017121006 19693   192   13.670  -20.24   22.91   310.02   11.74    0.32   10.85   12.27  -20.50   22.00    0.00133
+Event: 201719715 Start:   2017120612 Length: 34 Area:     372.969 SSIarea:     41.51593
+  2017120612 19715   118    8.000  -93.81   28.96   342.15   12.35    1.12    8.42   13.56  -94.25   28.50    0.00275
+  2017120618 19715   266   18.131  -93.74   28.52   733.97   12.45    0.92    6.87   13.82  -95.50   28.00    0.00252
+  2017120700 19715   292   19.924  -94.00   27.10   711.23   13.39    1.16    9.06   15.79  -94.50   26.50    0.03293
+  2017120706 19715   292   19.915  -90.67   27.51   526.33   12.83    0.58    9.83   14.58  -89.00   27.50    0.00627
+  2017120712 19715   463   31.664  -93.31   27.82   642.81   13.49    0.92    8.43   15.17  -96.00   27.75    0.04674
+  2017120718 19715   557   38.463  -93.79   26.59   628.96   13.44    1.16    7.44   15.12  -97.25   25.25    0.05134
+  2017120800 19715   838   57.691  -93.24   26.36   981.28   13.47    1.32    7.00   16.46  -97.25   24.50    0.10835
+  2017120806 19715   803   55.624  -96.06   24.87  1038.58   13.36    2.44    3.61   17.89  -96.50   23.00    0.29892
+  2017120812 19715  1077   75.271  -94.63   24.56  1064.52   13.90    2.47    3.96   18.43  -96.50   23.25    0.63144
+  2017120818 19715  1120   78.894  -92.95   23.50  1142.16   13.69    2.58    3.66   18.02  -95.75   19.50    0.62463
+  2017120900 19715  1105   78.362  -94.34   21.71  1391.13   13.60    2.13    3.14   19.32  -95.75   19.50    0.65051
+  2017120906 19715  1081   77.237  -92.75   20.49  1053.25   13.09    3.08    2.81   18.00  -95.75   19.75    1.20137
+  2017120912 19715  1584  113.044  -90.47   20.17  1161.74   12.24    3.27    2.50   16.56  -92.75   20.00    1.52210
+  2017120918 19715  1669  119.891  -87.35   18.89  1267.38   10.78    3.35    2.18   14.88  -84.00   20.25    0.86182
+  2017121000 19715  1102   79.529  -84.23   16.96  1316.17   11.79    2.37    3.35   16.16  -83.25   16.75    1.00321
+  2017121006 19715  1067   78.755  -83.20   13.81  1145.62   11.36    2.60    3.35   15.98  -83.75   15.50    1.95802
+  2017121012 19715  1363  100.041  -82.75   13.76  1368.19   11.83    2.67    2.43   16.97  -83.00   15.00    3.08339
+  2017121018 19715  1559  115.403  -84.58   13.03  1897.69   10.39    3.15    2.45   16.43  -83.25   12.50    7.63046
+  2017121100 19715   953   70.678  -82.18   12.32  1090.65   12.19    3.07    2.71   16.59  -81.75   11.75    4.83069
+  2017121106 19715   823   61.251  -82.16   11.41  1125.73   11.84    3.07    2.58   16.86  -83.25   12.50    4.14842
+  2017121112 19715   859   63.794  -82.23   11.98  1127.79   11.61    2.80    2.71   15.73  -82.75   12.00    2.22150
+  2017121118 19715   903   67.236  -83.00   12.34  1170.20   10.25    3.32    2.86   15.72  -81.25   14.00    2.62778
+  2017121200 19715   671   49.957  -82.04   12.01  1085.21   11.62    3.03    3.04   16.26  -82.00   13.25    1.98410
+  2017121206 19715   467   34.859  -82.28   10.51  1171.46   11.62    2.15    3.06   15.63  -82.50   11.00    1.95126
+  2017121212 19715   385   28.887  -82.28    9.97   995.98   11.01    1.76    2.96   14.60  -82.50   10.00    1.42821
+  2017121218 19715   471   35.302  -82.52   10.67   861.75    9.84    2.68    3.24   12.85  -81.25   14.50    0.54155
+  2017121300 19715   502   37.482  -81.80   12.14   999.27   11.25    1.59    4.09   13.08  -79.00   17.75    0.26749
+  2017121306 19715   504   37.774  -81.91   11.20   901.12   11.42    1.63    4.03   14.59  -81.00   12.00    0.44706
+  2017121312 19715   449   33.752  -81.51   10.34   798.11   11.16    1.59    2.60   13.53  -80.00   13.00    0.31520
+  2017121318 19715   579   43.553  -82.63   11.44   768.77    9.68    2.56    2.46   13.70  -80.25   12.00    0.46878
+  2017121400 19715   346   26.108  -81.39   10.22   632.09   10.88    1.61    4.08   14.22  -80.25   13.50    0.24500
+  2017121406 19715   175   13.267  -81.61    9.84   464.02   10.12    1.50    4.07   12.82  -81.00   12.25    0.18099
+  2017121412 19715    64    4.870  -81.94    9.80   189.85    8.67    1.58    4.56   10.68  -81.50   10.00    0.12570
+  2017121418 19715    30    2.287  -81.94    9.27   142.21    5.93    1.79    2.39    8.74  -82.00    9.50    0.01544
+Event: 201719727 Start:   2017120618 Length: 16 Area:     254.985 SSIarea:      4.45991
+  2017120618 19727   516   18.710  -15.44   62.94   620.82   19.15    2.28    7.19   21.88  -14.50   63.50    0.01441
+  2017120700 19727  1163   42.777  -12.07   61.53   702.78   19.62    2.16    6.92   22.10  -13.50   57.00    0.07695
+  2017120706 19727  1826   67.652   -7.73   60.87   779.95   18.93    3.56    7.26   28.16   -8.50   60.25    0.47893
+  2017120712 19727  2612   93.157   -3.95   60.69  1037.32   19.37    3.50    3.39   27.33   -4.50   60.50    1.20587
+  2017120718 19727  3327  118.934   -1.11   61.79   898.80   18.00    5.06    2.54   25.76    0.00   60.75    0.92502
+  2017120800 19727  3467  121.220    0.36   62.00  1018.24   17.93    4.39    3.13   24.70    1.75   61.50    0.75759
+  2017120806 19727  3690  125.063    0.74   62.22  1117.07   17.89    3.89    3.30   23.03    1.00   59.75    0.44583
+  2017120812 19727  2772   90.059   -1.01   64.99  1197.60   18.99    1.52    8.98   22.30   -2.50   64.25    0.20856
+  2017120818 19727  2957   96.544    0.46   64.40  1278.49   18.26    2.47    2.61   21.74    2.50   64.50    0.15185
+  2017120900 19727  2312   73.525   -2.10   66.95  1232.78   18.27    2.60    3.16   21.29   -4.50   69.75    0.11404
+  2017120906 19727  1822   50.840   -4.05   67.28  1178.46   18.40    1.14   16.20   20.84   -2.00   66.25    0.05653
+  2017120912 19727  1099   32.409   -5.62   66.78   711.60   18.28    0.80   16.25   20.51   -5.50   65.75    0.01940
+  2017120918 19727   612   18.315   -6.59   67.44   564.64   18.02    0.59   16.61   19.19   -7.00   67.50    0.00454
+  2017121000 19727   293    8.781   -7.75   66.30   535.79   17.60    0.33   16.69   18.50   -7.50   65.50    0.00035
+  2017121006 19727    79    2.554   -8.95   65.25   197.81   17.53    0.22   17.14   17.92   -9.50   64.50    0.00002
+  2017121012 19727    56    1.965   -9.25   63.10   151.01   18.29    0.23   17.86   18.76   -9.50   63.25    0.00002
+Event: 201719728 Start:   2017120618 Length: 14 Area:     109.108 SSIarea:      1.30549
+  2017120618 19728   193    7.026  -58.86   62.08   216.68   17.32    0.65   15.67   19.05  -59.00   62.00    0.00352
+  2017120700 19728   977   35.325  -57.68   62.53   698.90   17.79    1.52    5.20   20.05  -59.00   62.00    0.04358
+  2017120706 19728  1097   38.676  -56.05   62.73   868.86   17.88    2.55    2.79   20.46  -57.50   58.00    0.05874
+  2017120712 19728  1201   39.722  -55.03   64.95   992.69   17.38    2.54    3.64   21.08  -53.50   63.75    0.07653
+  2017120718 19728  1409   42.068  -57.43   68.36  1049.72   16.19    3.54    2.38   21.96  -53.25   63.00    0.17158
+  2017120800 19728  1525   43.935  -60.08   70.59  1354.67   16.05    3.46    2.64   21.81  -52.25   62.25    0.20500
+  2017120806 19728  1363   39.175  -55.46   65.81  1306.12   16.51    4.06    3.05   23.81  -54.25   62.75    0.22786
+  2017120812 19728   661   22.894  -50.68   63.05   772.23   19.14    3.65    3.90   25.58  -48.50   63.75    0.28552
+  2017120818 19728   261    9.314  -45.91   61.30   375.13   18.70    5.53    3.81   25.33  -47.25   62.00    0.00980
+  2017120900 19728   321   11.506  -45.68   61.23   475.33   19.84    6.25    3.92   29.36  -46.75   62.00    0.17700
+  2017120906 19728   251    8.815  -46.00   62.14   379.93   20.20    4.73    3.87   25.82  -46.75   62.00    0.01000
+  2017120912 19728   132    4.625  -45.03   62.77   305.68   20.73    3.24    6.63   25.21  -45.00   61.75    0.00734
+  2017120918 19728   481   15.420  -45.76   63.69   842.36   19.27    4.47    3.20   25.93  -45.00   61.75    0.01727
+  2017121000 19728   152    4.373  -50.13   67.97   282.37   13.89    5.09    3.89   20.56  -49.00   68.00    0.01175
+Event: 201719760 Start:   2017120706 Length: 11 Area:      49.543 SSIarea:      0.20195
+  2017120706 19760    58    2.845   -0.73   50.53   191.48   13.89    2.23    9.03   16.42   -0.25   50.50    0.00027
+  2017120712 19760    79    3.887    1.20   50.77   229.62   13.14    2.78    8.11   17.68    1.25   50.75    0.00256
+  2017120718 19760   146    7.552    2.52   47.66   282.11    8.22    0.43    7.20    9.26    3.25   48.75    0.00068
+  2017120800 19760    80    4.081    7.99   48.67   148.82    7.83    0.75    6.23    9.61    6.75   48.75    0.00798
+  2017120806 19760    36    2.000    9.74   44.25   182.38   10.32    3.83    4.17   15.11    8.75   43.75    0.03416
+  2017120812 19760    54    3.018    9.69   44.04   196.75   12.18    3.75    4.55   16.53    8.75   43.75    0.02073
+  2017120818 19760    59    3.338   12.42   43.20   221.58    8.39    3.01    4.30   14.15   11.00   42.25    0.00239
+  2017120900 19760   248   14.354   10.76   42.04   440.19   12.57    3.46    3.03   18.31    7.75   42.75    0.02556
+  2017120906 19760   266   15.510   10.48   41.35   529.48   13.52    3.43    3.45   18.84    7.75   42.25    0.05321
+  2017120912 19760   142    8.397   14.58   40.34   324.23   11.59    3.36    4.11   15.28   11.75   40.50    0.01428
+  2017120918 19760   124    7.414   15.69   39.24   306.09   12.53    2.46    4.97   15.55   15.50   39.50    0.04014
+Event: 201719762 Start:   2017120706 Length: 17 Area:     124.057 SSIarea:      0.14915
+  2017120706 19762   244   16.163  -31.22   31.30   369.60   13.11    0.68   11.57   14.36  -31.00   32.50    0.00214
+  2017120712 19762   263   17.575  -32.01   30.20   406.61   12.67    0.68   11.30   14.45  -32.75   30.75    0.00336
+  2017120718 19762   152   10.107  -30.68   31.29   394.56   12.72    0.72   11.43   13.81  -30.00   32.50    0.00063
+  2017120800 19762    32    2.087  -32.61   32.74   222.07   13.48    0.44   12.64   14.11  -32.50   33.50    0.00001
+  2017120806 19762   336   22.302  -31.23   31.65   502.88   12.83    0.81   11.27   15.37  -33.50   33.75    0.00155
+  2017120812 19762   129    8.719  -28.86   28.74   362.79   12.01    0.39   11.28   12.89  -28.75   32.00    0.00028
+  2017120818 19762   173   11.609  -31.23   29.98   383.71   12.67    0.79   11.33   15.23  -31.50   30.00    0.00688
+  2017120900 19762    77    5.270  -29.82   27.44   257.33   11.61    0.20   11.18   12.00  -30.00   29.75    0.00006
+  2017120906 19762   120    8.177  -31.58   28.26   301.78   11.97    0.38   11.28   12.74  -32.00   28.00    0.00101
+  2017120912 19762   547   37.700  -30.86   26.31   484.68   12.27    0.64   11.09   13.71  -31.50   27.50    0.04633
+  2017120918 19762   140    9.620  -32.05   26.54   284.39   12.03    0.44   11.07   13.29  -32.00   25.75    0.00455
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+  2017121106 19762   140    9.717  -45.63   25.80   288.96   11.75    0.39   10.84   12.55  -46.00   25.75    0.00313
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+  2017121118 19922    51    3.059   -9.17   39.86   264.30   13.02    1.43    8.66   14.54   -9.50   39.75    0.00051
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+  2017121506 19981    85    4.229   -5.42   50.09   194.78   15.68    1.53    9.56   17.04   -6.00   49.75    0.00019
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+  2017121300 19997   311   13.208   25.31   56.59   397.66    8.29    0.78    6.35   12.47   24.00   57.25    0.02707
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+  2017121918 20397   105    7.863  -80.85   14.26   240.17   11.22    0.40   10.40   11.84  -79.50   14.50    0.00100
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+  2017122106 20469   360    6.756   29.37   76.13   355.99   16.22    0.58   14.93   17.66   28.00   75.75    0.00170
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+  2017122412 20721   861   63.051   20.24   18.82   793.07    9.24    2.08    4.95   15.11   18.75   19.00    0.30993
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+  2017122512 20721  1699  124.649   21.90   18.70  1354.20    8.81    1.43    5.32   14.50   18.75   19.00    0.11195
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+  2017122812 20896   707   50.698  -25.32   21.64   752.73   11.59    0.25   11.03   12.10  -24.25   20.50    0.00315
+Event: 201720944 Start:   2017122618 Length:  8 Area:      50.635 SSIarea:      0.00222
+  2017122618 20944    21    1.554  -62.97   16.42   166.16   10.66    0.18   10.08   10.90  -63.25   16.50    0.00001
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+  2017122800 20944   109    8.180  -58.30   13.84   298.42   10.90    0.31   10.31   11.56  -57.75   14.00    0.00065
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+  2017122812 20944   117    8.791  -58.54   12.97   290.96   10.78    0.18   10.17   11.15  -58.50   12.75    0.00018
+Event: 201720957 Start:   2017122700 Length:  8 Area:     173.323 SSIarea:      2.52514
+  2017122700 20957    58    3.612   -1.23   36.36   244.76   12.54    2.61    6.13   15.47   -2.00   36.25    0.00044
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+Event: 201720969 Start:   2017122712 Length:  9 Area:      71.393 SSIarea:      0.93416
+  2017122712 20969  1393   53.191  -59.69   56.47  1226.89   17.19    3.05    4.67   23.03  -57.50   57.25    0.20038
+  2017122718 20969  1197   46.758  -60.45   57.36  1128.31   17.00    3.32    4.69   21.63  -57.50   59.50    0.16033
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+  2017122912 20969    96    4.212  -51.41   55.49   173.87   18.63    0.31   17.98   19.19  -50.00   56.25    0.00013
+Event: 201720997 Start:   2017122800 Length:  9 Area:      83.729 SSIarea:      1.25712
+  2017122800 20997   415   24.015    8.11   41.96   393.66   15.42    3.92    3.68   21.55    7.50   42.50    0.22107
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+  2017122812 20997   885   52.835   11.28   39.80   977.46   12.65    4.16    4.27   18.85    7.75   41.00    0.54397
+  2017122818 20997   402   23.763   10.34   40.28   566.57   14.22    2.90    4.85   19.66    7.00   42.25    0.06522
+  2017122900 20997    46    2.692    7.90   40.69   165.66   14.76    2.08    8.94   16.73    7.00   41.25    0.00053
+  2017122906 20997    59    3.579    9.33   38.13   213.64   14.36    0.98   10.09   15.87   10.00   37.50    0.00021
+  2017122912 20997   228   14.313   11.55   35.83   466.89   12.74    2.65    6.14   15.05   12.00   36.50    0.00357
+  2017122918 20997   247   15.779   16.02   33.46   462.80   14.17    0.63   11.00   15.30   15.50   33.50    0.01334
+  2017123000 20997    56    3.596   14.79   33.88   226.04   13.41    0.33   12.57   13.85   14.50   34.25    0.00006
+Event: 201721051 Start:   2017122912 Length:  9 Area:      28.336 SSIarea:      0.00888
+  2017122912 21051    47    1.818  -18.50   59.96   155.27   19.34    0.39   18.62   19.97  -18.50   60.00    0.00015
+  2017122918 21051    67    2.534  -22.19   60.55   180.22   19.60    0.58   18.59   20.99  -22.75   60.50    0.00050
+  2017123000 21051    96    3.539  -25.09   61.33   215.54   19.53    0.58   18.53   20.67  -25.75   61.00    0.00089
+  2017123006 21051    51    1.919  -29.43   60.83   113.56   19.48    0.49   18.54   20.45  -29.50   60.75    0.00024
+  2017123012 21051    90    3.493  -33.60   59.78   177.92   20.29    0.93   18.67   22.16  -34.00   59.50    0.00217
+  2017123018 21051    37    1.524  -36.08   57.90   129.44   20.28    0.69   19.17   21.73  -36.00   58.00    0.00029
+  2017123100 21051    52    2.370  -34.72   53.90   121.79   19.28    0.43   18.58   20.13  -34.75   54.00    0.00014
+  2017123106 21051   133    6.291  -31.40   52.52   214.18   19.65    0.77   18.48   21.04  -31.50   53.00    0.00311
+  2017123112 21051    94    4.847  -35.99   48.61   380.18   19.44    0.76   18.11   21.36  -36.75   49.00    0.00139
diff --git a/tests/test_huracanpy.py b/tests/test_huracanpy.py
index bd54295..aefcb1a 100644
--- a/tests/test_huracanpy.py
+++ b/tests/test_huracanpy.py
@@ -15,6 +15,7 @@
         (huracanpy.example_TE_file, dict(source="tempestextremes"), 8, 0, 210, 8),
         (huracanpy.example_CHAZ_file, dict(), 11, 0, 1078, 20),
         (huracanpy.example_MIT_file, dict(), 10, 1, 2138, 11),
+        (huracanpy.example_WiTRACK_file, dict(source="witrack"), 14, 0, 3194, 268),
         (None, dict(source="ibtracs", ibtracs_subset="wmo"), 8, 0, 143287, 4540),
         (None, dict(source="ibtracs", ibtracs_subset="usa"), 10, 0, 121806, 4170),
     ],
@@ -44,6 +45,7 @@ def test_load(filename, kwargs, nvars, ncoords, npoints, ntracks):
         (huracanpy.example_TE_file, "tempestextremes"),
         (huracanpy.example_CHAZ_file, None),
         (huracanpy.example_MIT_file, None),
+        (huracanpy.example_WiTRACK_file, "witrack"),
         (None, "ibtracs"),
     ],
 )

From 29f04d6493f9816fcf2ebdfde238f780ae780c74 Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Fri, 6 Dec 2024 14:58:26 +0000
Subject: [PATCH 29/51] Add boxes from Sainsbury 2022 papers as alternative
 conventions for info.basin

---
 huracanpy/_basins.py              | 32 +++++++++++++++++++++++++++++++
 tests/test_info/test_geography.py | 18 +++++++++++++++++
 2 files changed, 50 insertions(+)

diff --git a/huracanpy/_basins.py b/huracanpy/_basins.py
index f45421b..a67ebde 100644
--- a/huracanpy/_basins.py
+++ b/huracanpy/_basins.py
@@ -29,3 +29,35 @@
 
 B = dict(SH, **NH)
 basins["WMO-TC"] = gpd.GeoDataFrame(index=B.keys(), geometry=list(B.values()))
+
+# Sainsbury et. al. (2022)
+# What Governs the Interannual Variability of Recurving North Atlantic Tropical Cyclones?
+# https://doi.org/10.1175/JCLI-D-21-0712.1
+B = dict(
+    MDR=Polygon([(-70, 6), (-10, 6), (-10, 20), (-70, 20)]),
+    SUB=Polygon([(-82, 20), (-10, 20), (-10, 50), (-82, 50)]),
+    WEST=Polygon(
+        [
+            (-70, 8),
+            (-90, 8),
+            (-90, 16),
+            (-100, 16),
+            (-100, 33),
+            (-82, 33),
+            (-82, 20),
+            (-70, 20),
+        ]
+    ),
+)
+basins["Sainsbury2022JCLI"] = gpd.GeoDataFrame(
+    index=B.keys(), geometry=list(B.values())
+)
+
+# Sainsbury et. al. (2022)
+# Why Do Some Post-Tropical Cyclones Impact Europe?
+# https://doi.org/10.1175/MWR-D-22-0111.1
+B = dict(
+    Europe=Polygon([(-10, 36), (30, 36), (30, 70), (-10, 70)]),
+    NoEurope=Polygon([(-70, 36), (-10, 36), (-10, 70), (-70, 70)]),
+)
+basins["Sainsbury2022MWR"] = gpd.GeoDataFrame(index=B.keys(), geometry=list(B.values()))
diff --git a/tests/test_info/test_geography.py b/tests/test_info/test_geography.py
index d6b4e43..3767b49 100644
--- a/tests/test_info/test_geography.py
+++ b/tests/test_info/test_geography.py
@@ -39,6 +39,24 @@ def test_basin(data, expected, request):
     assert (result == expected).all()
 
 
+@pytest.mark.parametrize(
+    "convention, expected",
+    [
+        ("Sainsbury2022JCLI", ["WEST"] + ["SUB", "MDR"] * 6 + ["SUB"] + [""] * 6),
+        (
+            "Sainsbury2022MWR",
+            [""] * 3 + ["NoEurope", ""] * 6 + ["Europe", ""] * 2 + ["Europe"],
+        ),
+    ],
+)
+def test_basin_definition(convention, expected):
+    lon = np.arange(-80, 20, 5)
+    lat = np.array([15, 45] * 10)
+    result = huracanpy.info.basin(lon, lat, convention=convention)
+
+    np.testing.assert_array_equal(result, expected)
+
+
 @pytest.mark.parametrize(
     "data, expected",
     [

From 75168b11e8afcb12072ea3412143fa084c797e43 Mon Sep 17 00:00:00 2001
From: Leo Saffin <string_buster@hotmail.com>
Date: Fri, 6 Dec 2024 17:04:30 +0000
Subject: [PATCH 30/51] Add documentation of extra "basins" to info.basin

---
 huracanpy/info/_geography.py | 18 ++++++++++++++++--
 1 file changed, 16 insertions(+), 2 deletions(-)

diff --git a/huracanpy/info/_geography.py b/huracanpy/info/_geography.py
index 522fc9c..eeea507 100644
--- a/huracanpy/info/_geography.py
+++ b/huracanpy/info/_geography.py
@@ -48,8 +48,22 @@ def basin(lon, lat, convention="WMO-TC", crs=None):
     lat : xarray.DataArray
         Latitude series
     convention : str
-        Name of the basin convention you want to use
-            * WMO
+        Name of the basin convention you want to use.
+            * **WMO-TC** - WMO defined tropical cyclone basins
+            * **Sainsbury2022JCLI** - Definitions from
+                (https://doi.org/10.1175/JCLI-D-21-0712.1) North Atlantic split up into:
+
+                * Main development region (MDR)
+                * Subtropical development region (SUB)
+                * Western basin / Caribbean sea (WEST)
+
+            * **Sainsbury2022MWR** - Definitions from
+                (https://doi.org/10.1175/MWR-D-22-0111.1). Extratropical transition in
+                North Atlantic divided into:
+
+                * Europe
+                * NoEurope
+
     crs : cartopy.crs.CRS, optional
         The coordinate reference system of the lon, lat inputs. The basins are defined
         in PlateCarree (-180, 180), so this will transform lon/lat to this projection

From 14993ddf210c0d832ba3a49ecf69131e5589adce Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 9 Dec 2024 16:41:58 +0000
Subject: [PATCH 31/51] Fix accessor pb by removing .copy() in init

---
 huracanpy/_accessor.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/huracanpy/_accessor.py b/huracanpy/_accessor.py
index 8b07d42..467bd39 100644
--- a/huracanpy/_accessor.py
+++ b/huracanpy/_accessor.py
@@ -26,7 +26,7 @@ def nunique(self):
 @xr.register_dataset_accessor("hrcn")
 class HuracanPyDatasetAccessor:
     def __init__(self, dataset):
-        self._dataset = dataset.copy()
+        self._dataset = dataset
 
     # %% Save
     def save(self, filename):

From 3ad97ce40c918b2b1a631633194ca1aea164c062 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 12 Dec 2024 14:39:28 +0000
Subject: [PATCH 32/51] Add simple RMW function

---
 huracanpy/tc/_size.py | 22 ++++++++++++++++++++++
 1 file changed, 22 insertions(+)
 create mode 100644 huracanpy/tc/_size.py

diff --git a/huracanpy/tc/_size.py b/huracanpy/tc/_size.py
new file mode 100644
index 0000000..aff4865
--- /dev/null
+++ b/huracanpy/tc/_size.py
@@ -0,0 +1,22 @@
+"""
+Module containing functions to compute different size metrics
+"""
+
+from haversine import haversine
+import  xarray as xr
+import numpy as np
+
+def radius_of_maximum_wind(lon_slp, lat_slp, lon_wind_max, lat_wind_max):
+    
+    lon_slp = xr.where(lon_slp > 180, lon_slp - 360, lon_slp)
+    lon_wind_max = xr.where(lon_wind_max > 180, lon_wind_max - 360, lon_wind_max)
+    
+    f = lambda a, b, c, d: haversine((b, a), (d, c))
+    rmw = xr.DataArray(
+        [f(lon_slp.isel(record = i,), lat_slp.isel(record = i,), 
+             lon_wind_max.isel(record = i,), lat_wind_max.isel(record = i,)) 
+           for i in range(len(lon_slp.record))],
+        dims = lon_slp.dims)
+    
+    return rmw
+

From ebdfdea275971c8ab3cbf7ffab790de410fc3c19 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 12 Dec 2024 15:18:29 +0000
Subject: [PATCH 33/51] Implement beta drift function

---
 huracanpy/tc/_beta_drift.py | 46 +++++++++++++++++++++++++++++++++++++
 1 file changed, 46 insertions(+)
 create mode 100644 huracanpy/tc/_beta_drift.py

diff --git a/huracanpy/tc/_beta_drift.py b/huracanpy/tc/_beta_drift.py
new file mode 100644
index 0000000..ad8d712
--- /dev/null
+++ b/huracanpy/tc/_beta_drift.py
@@ -0,0 +1,46 @@
+import numpy as np
+
+def beta_drift(lat, wind_max, radius_wind_max,):
+    """
+    Based on Smith, 1993: https://journals.ametsoc.org/view/journals/atsc/50/18/1520-0469_1993_050_3213_ahbdl_2_0_co_2.xml?tab_body=pdf
+
+    Parameters
+    ----------
+    lat : TYPE
+        DESCRIPTION.
+    wind_max : TYPE
+        DESCRIPTION.
+    radius_wind_max : TYPE
+        DESCRIPTION.
+
+    Returns
+    -------
+    V_drift : TYPE
+        DESCRIPTION.
+    theta_drift : TYPE
+        DESCRIPTION.
+
+    """
+    
+    # Treat input
+    ## Convert lat to rad
+    if lat.max() > np.pi: # We assume lats are in degrees if they exceed pi
+        lat = lat / 180 * np.pi
+    ## Convert rmw to m
+    if radius_wind_max.max() < 10000: # We assume rmw are in km if they are below 10,000
+        radius_wind_max *= 1000
+    
+    # Coriolis parameters
+    Omega = 7.2921e-5 #rad/s Rotation rate of the Earth
+    a = 6.378e6 #m Mean radius of the Earth
+    beta = 2 * Omega * np.cos(lat) / a #s-1 m-1
+    
+    # Beta-drift parameters
+    V_char = (radius_wind_max ** 2) * beta # m/s
+    B = V_char / wind_max               # non-dimensionnal
+    V_drift_adim =0.72*B**(-0.54)       # non-dmensionnal
+    V_drift = V_drift_adim*V_char       # m/s 
+    theta_drift = 308 - 9.6 * np.log(B) # degrees
+    
+    return V_drift, theta_drift
+

From 850f80dd9834f9d174e947cb9bc1be3a2a127756 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 12 Dec 2024 15:23:06 +0000
Subject: [PATCH 34/51] Update init

---
 huracanpy/tc/__init__.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/huracanpy/tc/__init__.py b/huracanpy/tc/__init__.py
index ed4a630..f974933 100644
--- a/huracanpy/tc/__init__.py
+++ b/huracanpy/tc/__init__.py
@@ -1,6 +1,9 @@
 """Tropical Cyclone specific calculations"""
 
-__all__ = ["ace", "pace", "saffir_simpson_category", "pressure_category"]
+__all__ = ["ace", "pace", "saffir_simpson_category", "pressure_category",
+           "radius_of_maximum_wind", "beta_drift"]
 
 from ._ace import ace, pace
 from ._category import saffir_simpson_category, pressure_category
+from ._size import radius_of_maximum_wind
+from ._beta_drift import beta_drift
\ No newline at end of file

From 9d7731775d996608218c5f37390a0b7925cf65f6 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 12 Dec 2024 15:28:59 +0000
Subject: [PATCH 35/51] Prevent beta_Drift from changing RMW in place

---
 huracanpy/tc/_beta_drift.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/huracanpy/tc/_beta_drift.py b/huracanpy/tc/_beta_drift.py
index ad8d712..65c1732 100644
--- a/huracanpy/tc/_beta_drift.py
+++ b/huracanpy/tc/_beta_drift.py
@@ -28,7 +28,7 @@ def beta_drift(lat, wind_max, radius_wind_max,):
         lat = lat / 180 * np.pi
     ## Convert rmw to m
     if radius_wind_max.max() < 10000: # We assume rmw are in km if they are below 10,000
-        radius_wind_max *= 1000
+        radius_wind_max = radius_wind_max*1000
     
     # Coriolis parameters
     Omega = 7.2921e-5 #rad/s Rotation rate of the Earth

From 4442285d044032f6cd1182b59d2d9e38d1b5bbd6 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 12 Dec 2024 15:35:22 +0000
Subject: [PATCH 36/51] Add beta drift example

---
 docs/examples/beta_drift.ipynb | 141 +++++++++++++++++++++++++++++++++
 1 file changed, 141 insertions(+)
 create mode 100644 docs/examples/beta_drift.ipynb

diff --git a/docs/examples/beta_drift.ipynb b/docs/examples/beta_drift.ipynb
new file mode 100644
index 0000000..f021c99
--- /dev/null
+++ b/docs/examples/beta_drift.ipynb
@@ -0,0 +1,141 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "30ee360e-751e-4b76-ad94-3903a02f07b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import huracanpy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ffff6a10-35ac-4ef0-9fed-b9c02a6d4f0c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = huracanpy.load(huracanpy.example_TRACK_file, source = \"TRACK\")\n",
+    "# In this TRACK file, feature_9 is the wind speed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "39da5c34-0f37-44e2-87c8-e0c3e0b8d73f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 1. Compute Radius of Maximum Wind\n",
+    "RMW = huracanpy.tc.radius_of_maximum_wind(data.lon, data.lat, data.feature_9_lon, data.feature_9_lat)\n",
+    "data = data.assign(RMW = RMW)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c2ad0597-2641-444e-9ae9-8ca6424164b6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 2. Compute beta-drift\n",
+    "V_drift, theta_drift = huracanpy.tc.beta_drift(data.lat, data.feature_9, data.RMW)\n",
+    "data = data.assign(V_drift = V_drift, theta_drift = theta_drift)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "a7576b47-6486-4a67-bdc5-29cef096cfb3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'radius of maximum wind in km')"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Verify result\n",
+    "import matplotlib.pyplot as plt\n",
+    "plt.scatter(data.feature_9, data.RMW, c = data.V_drift,)\n",
+    "plt.colorbar(label = \"Beta-drift wind in m/s\")\n",
+    "plt.xlabel(\"Maximum wind speed in m/s\")\n",
+    "plt.ylabel(\"radius of maximum wind in km\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "6dc30ab8-fdf2-45f0-bce7-beb27a1d55b5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Dot size represents the radius of maximum winds')"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(data.feature_9, data.V_drift, c = data.theta_drift, s = data.RMW)\n",
+    "plt.colorbar(label = \"Drift angle in degrees\")\n",
+    "plt.xlabel(\"Maximum wind speed in m/s\")\n",
+    "plt.ylabel(\"Beta drift wind in m/s\")\n",
+    "plt.title(\"Dot size represents the radius of maximum winds\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 81b2578ed52d219b83169f2ec75321b2fbcf2888 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 12 Dec 2024 15:51:02 +0000
Subject: [PATCH 37/51] Add RMW figure

---
 docs/examples/beta_drift.ipynb | 71 ++++++++++++++++++++--------------
 1 file changed, 43 insertions(+), 28 deletions(-)

diff --git a/docs/examples/beta_drift.ipynb b/docs/examples/beta_drift.ipynb
index f021c99..3f45f51 100644
--- a/docs/examples/beta_drift.ipynb
+++ b/docs/examples/beta_drift.ipynb
@@ -7,7 +7,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import huracanpy"
+    "import huracanpy\n",
+    "\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
@@ -35,35 +37,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "c2ad0597-2641-444e-9ae9-8ca6424164b6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 2. Compute beta-drift\n",
-    "V_drift, theta_drift = huracanpy.tc.beta_drift(data.lat, data.feature_9, data.RMW)\n",
-    "data = data.assign(V_drift = V_drift, theta_drift = theta_drift)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "a7576b47-6486-4a67-bdc5-29cef096cfb3",
+   "execution_count": 10,
+   "id": "8a2f9e07-ac38-45a4-bd65-8a5cf429c221",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Text(0, 0.5, 'radius of maximum wind in km')"
+       "Text(0, 0.5, 'Longitude difference')"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -74,32 +64,43 @@
    ],
    "source": [
     "# Verify result\n",
-    "import matplotlib.pyplot as plt\n",
-    "plt.scatter(data.feature_9, data.RMW, c = data.V_drift,)\n",
-    "plt.colorbar(label = \"Beta-drift wind in m/s\")\n",
-    "plt.xlabel(\"Maximum wind speed in m/s\")\n",
-    "plt.ylabel(\"radius of maximum wind in km\")"
+    "plt.scatter(data.lat-data.feature_9_lat, data.lon - data.feature_9_lon, c = RMW)\n",
+    "plt.colorbar(label = \"Radius of maximum wind in km\")\n",
+    "plt.xlabel(\"Latitude difference\")\n",
+    "plt.ylabel(\"Longitude difference\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "id": "6dc30ab8-fdf2-45f0-bce7-beb27a1d55b5",
+   "execution_count": 5,
+   "id": "c2ad0597-2641-444e-9ae9-8ca6424164b6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 2. Compute beta-drift\n",
+    "V_drift, theta_drift = huracanpy.tc.beta_drift(data.lat, data.feature_9, data.RMW)\n",
+    "data = data.assign(V_drift = V_drift, theta_drift = theta_drift)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a7576b47-6486-4a67-bdc5-29cef096cfb3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Text(0.5, 1.0, 'Dot size represents the radius of maximum winds')"
+       "Text(0, 0.5, 'radius of maximum wind in km')"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -108,6 +109,20 @@
      "output_type": "display_data"
     }
    ],
+   "source": [
+    "# Verify result\n",
+    "plt.scatter(data.feature_9, data.RMW, c = data.V_drift,)\n",
+    "plt.colorbar(label = \"Beta-drift wind in m/s\")\n",
+    "plt.xlabel(\"Maximum wind speed in m/s\")\n",
+    "plt.ylabel(\"radius of maximum wind in km\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6dc30ab8-fdf2-45f0-bce7-beb27a1d55b5",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "plt.scatter(data.feature_9, data.V_drift, c = data.theta_drift, s = data.RMW)\n",
     "plt.colorbar(label = \"Drift angle in degrees\")\n",

From cb36868b029b83d00ca35c1f8e3a26238979c566 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 12 Dec 2024 15:51:21 +0000
Subject: [PATCH 38/51] Add RMW test

---
 tests/test_tc/test_size.py | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 tests/test_tc/test_size.py

diff --git a/tests/test_tc/test_size.py b/tests/test_tc/test_size.py
new file mode 100644
index 0000000..1a05310
--- /dev/null
+++ b/tests/test_tc/test_size.py
@@ -0,0 +1,10 @@
+import numpy as np
+
+import huracanpy
+
+def test_radius_of_maximum_wind():
+    data = huracanpy.load(huracanpy.example_TRACK_file, source = "TRACK")
+    RMW = huracanpy.tc.radius_of_maximum_wind(data.lon, data.lat, data.feature_9_lon, data.feature_9_lat)
+    np.testing.assert_almost_equal(RMW.max(), 666.74927689)
+    np.testing.assert_almost_equal(RMW.min(), 25.21889771)
+    np.testing.assert_almost_equal(RMW.mean(), 356.36039091)
\ No newline at end of file

From 8afa6feebb32f066ac09cc23c700f84f7ab73507 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 12 Dec 2024 15:53:49 +0000
Subject: [PATCH 39/51] Add beta_drift test

---
 tests/test_tc/test_beta_drift.py | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 tests/test_tc/test_beta_drift.py

diff --git a/tests/test_tc/test_beta_drift.py b/tests/test_tc/test_beta_drift.py
new file mode 100644
index 0000000..9006190
--- /dev/null
+++ b/tests/test_tc/test_beta_drift.py
@@ -0,0 +1,10 @@
+import numpy as np
+
+import huracanpy
+
+def test_radius_of_maximum_wind():
+    data = huracanpy.load(huracanpy.example_TRACK_file, source = "TRACK")
+    RMW = huracanpy.tc.radius_of_maximum_wind(data.lon, data.lat, data.feature_9_lon, data.feature_9_lat)
+    V_drift, theta_drift = huracanpy.tc.beta_drift(data.lat, data.feature_9, RMW)
+    np.testing.assert_almost_equal(V_drift.mean(), 4.50333266)
+    np.testing.assert_almost_equal(theta_drift.mean(), 330.38964024)
\ No newline at end of file

From 4d53cefcdea91019a5b861d9ce0aa28b31607697 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 15:22:11 +0100
Subject: [PATCH 40/51] Update landing page

---
 docs/index.rst | 17 +++++++----------
 1 file changed, 7 insertions(+), 10 deletions(-)

diff --git a/docs/index.rst b/docs/index.rst
index f371213..57536c9 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -18,31 +18,28 @@ HuracanPy
 A python package for working with various forms of feature tracking data, including but not restricted to cyclone tracks.
 
 **Why HuracanPy?**
-
 The idea of this package is to provide a common tool for working with cyclone track data. 
 In particular, HuracanPy can read tracks from many different sources/trackers. 
 It also provides useful functions to analyse these tracks, including many common diagnostics.
 Our goal is to make track data analysis more accessible, and to promote good reproducibility practices.
 
 
-**Need to know about HuracanPy**
+**Need to know about HuracanPy:**
 
-This package is distributed under the `MIT licence <https://github.com/Huracan-project/huracanpy/blob/master/LICENSE>`_. 
-A JOSS paper is currently being prepared. We ask that you cite it in published papers using HuracanPy. This help us get credit for the work we put in the development, and also to track how the package is used. 
+* This package is distributed under the `MIT licence <https://github.com/Huracan-project/huracanpy/blob/master/LICENSE>`_. 
 
-Please watch the GitHub repository to get information about HuracanPy. 
+* A JOSS paper is currently being prepared. We ask that you cite it in published papers using HuracanPy. This help us get credit for the work we put in the development, and also to track how the package is used. 
 
-**Contact**
+* Please watch the GitHub repository to get information about HuracanPy. 
 
+**Contact:**
 Please use GitHub's functions to communicate with HuracanPy's developers. In particular, use `Issues <https://github.com/Huracan-project/huracanpy/issues>`_ for feature requests or bug reporting; and use the `Dicussions <https://github.com/Huracan-project/huracanpy/discussions>`_ for Q&A and general feedback. Do not forget HuracanPy is an open-source project, and you can also contribute to it. 
 
-If that is not satisfactory, you may contact the developers' team using this address: [TODO]. 
-
-**Acknowledgments**
-
+**Acknowledgments:**
 HuracanPy's development is currently supported by the `Huracán NERC-NSF project <https://research.reading.ac.uk/huracan/about-huracan/project-overview/>`_.
 You can find a list of HuracanPy's contributors `here <https://github.com/Huracan-project/huracanpy/graphs/contributors>`_.
 
+**Getting started?** Head to the User Guide below!
 
 .. grid:: 1 2 2 2
     :gutter: 2

From d292e5365e5b51d7fd790495f2482a699c7bb5c3 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 15:25:21 +0100
Subject: [PATCH 41/51] Add logo

---
 docs/logo_ChatGPT.png | Bin 0 -> 400749 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 docs/logo_ChatGPT.png

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HcmV?d00001


From 0cf8f21260b8977cc5cfdcc59f5c997711b68747 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 16:15:48 +0100
Subject: [PATCH 42/51] Update examples

---
 ...t_basin_plot_interannual_variability.ipynb | 156 ++++++++++++++++++
 docs/examples/beta_drift.ipynb                |  36 +++-
 2 files changed, 188 insertions(+), 4 deletions(-)
 create mode 100644 docs/examples/Select_basin_plot_interannual_variability.ipynb

diff --git a/docs/examples/Select_basin_plot_interannual_variability.ipynb b/docs/examples/Select_basin_plot_interannual_variability.ipynb
new file mode 100644
index 0000000..ff4e65a
--- /dev/null
+++ b/docs/examples/Select_basin_plot_interannual_variability.ipynb
@@ -0,0 +1,156 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "9c0739ac-412e-45cf-b8fd-85013ce915ad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import huracanpy\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "aad64ec3-1075-4eaa-be21-e7d1531d063b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/bourdin/Softs/huracanpy/huracanpy/_data/ibtracs.py:112: UserWarning: This offline function loads a light version of IBTrACS which is embedded within the package, based on a file produced manually by the developers.\n",
+      "                  It was last updated on the 15th Nov 2024, based on the IBTrACS file at that date.\n",
+      "                  It contains only data from 1980 up to the last year with no provisional tracks. All spur tracks were removed. Only 6-hourly time steps were kept.\n",
+      "  warnings.warn(\n",
+      "/Users/bourdin/Softs/huracanpy/huracanpy/_data/ibtracs.py:118: UserWarning: You are loading the IBTrACS-WMO subset.                       This dataset contains the positions and intensity reported by the WMO agency responsible for each basin\n",
+      "                      Be aware of the fact that wind and pressure data is provided as they are in IBTrACS,                       which means in particular that wind speeds are in knots and averaged over different time periods.\n",
+      "                    For more information, see the IBTrACS column documentation at https://www.ncei.noaa.gov/sites/default/files/2021-07/IBTrACS_v04_column_documentation.pdf\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Load the data. Here: IBTrACS\n",
+    "data = huracanpy.load(source = \"ibtracs\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ab728dab-439e-4280-81d2-4a1a183ca824",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get the basins\n",
+    "data[\"basin\"] = huracanpy.info.basin(data.lon, data.lat)\n",
+    "# Equivalent to data = data.add_basin()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7fa6dc3f-cfe6-4433-b08c-3ac8c8612413",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Select the basin you're interested in (here: North Atlantic -- NATL)\n",
+    "## Option 1: Get only the points within this basin\n",
+    "NATL1 = data.where(data.basin == \"NATL\", drop = True)\n",
+    "## Option 2: Select tracks that have at least one point in this basin\n",
+    "### 2a : calling hurcanpy\n",
+    "NATL2a = huracanpy.trackswhere(data, data.track_id, lambda t: (t.basin == \"NATL\").any())\n",
+    "### 2b : Using the accessor\n",
+    "NATL2b = data.hrcn.trackswhere(lambda t: (t.basin == \"NATL\").any())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "5923a55c-7cd1-4087-ad8b-b6d6c38e09fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/bourdin/Softs/miniforge3/envs/huracanpy/lib/python3.11/site-packages/xarray/core/concat.py:540: UserWarning: No index created for dimension season because variable season is not a coordinate. To create an index for season, please first call `.set_coords('season')` on this object.\n",
+      "  ds.expand_dims(dim_name, create_index_for_new_dim=create_index_for_new_dim)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x500 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot interannual variability\n",
+    "fig, axs = plt.subplots(3, figsize = [15,5], sharex = True)\n",
+    "\n",
+    "## Frequency\n",
+    "gen = huracanpy.calc.gen_vals(NATL1, NATL1.time, NATL1.track_id) # eq. to gen = data.hrcn.get_gen_vals()\n",
+    "freq = gen.groupby(\"season\").count().time\n",
+    "freq.plot(ax = axs[0], label = \"frequency\")\n",
+    "\n",
+    "## TC days\n",
+    "tcd = NATL1.groupby(\"season\").apply(\n",
+    "    lambda s: huracanpy.calc.track_duration(s.time, s.track_id).sum() # eq. to s.hrcn.get_track_duration().sum()\n",
+    "    / 24 # Conversion because track_duration is in h\n",
+    ")\n",
+    "tcd.plot(ax = axs[1], label = \"TC days\")\n",
+    "\n",
+    "## ACE\n",
+    "ace = NATL1.groupby(\"season\").apply(\n",
+    "    lambda s: huracanpy.tc.ace(s.wind).sum()   # eq. to s.hrcn.get_ace().sum() \n",
+    ")\n",
+    "ace.plot(ax = axs[2], label = \"ACE\")\n",
+    "\n",
+    "# Labels\n",
+    "axs[0].set_ylabel(\"#TC\")\n",
+    "axs[1].set_ylabel(\"TC Days\")\n",
+    "axs[2].set_ylabel(\"ACE\")\n",
+    "for ax in axs: \n",
+    "    ax.set_xlabel(\"\")\n",
+    "    ax.set_xticks(range(1980,2022,5))\n",
+    "    ax.grid()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cb19ad9f-6e2e-40ee-9711-ddcfccbd472b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/examples/beta_drift.ipynb b/docs/examples/beta_drift.ipynb
index 3f45f51..cd277e0 100644
--- a/docs/examples/beta_drift.ipynb
+++ b/docs/examples/beta_drift.ipynb
@@ -19,8 +19,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "data = huracanpy.load(huracanpy.example_TRACK_file, source = \"TRACK\")\n",
-    "# In this TRACK file, feature_9 is the wind speed"
+    "data = huracanpy.load(huracanpy.example_TRACK_file, source = \"TRACK\")"
    ]
   },
   {
@@ -119,10 +118,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "6dc30ab8-fdf2-45f0-bce7-beb27a1d55b5",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Dot size represents the radius of maximum winds')"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plt.scatter(data.feature_9, data.V_drift, c = data.theta_drift, s = data.RMW)\n",
     "plt.colorbar(label = \"Drift angle in degrees\")\n",
@@ -130,6 +150,14 @@
     "plt.ylabel(\"Beta drift wind in m/s\")\n",
     "plt.title(\"Dot size represents the radius of maximum winds\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "191d33ae-c323-46c8-8607-5a2a16727a31",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

From 772614bf27c6bb6dde0a02477aa6dbb4dfa8ef8d Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 16:17:31 +0100
Subject: [PATCH 43/51] Update gitignore to ignore pptx temp files

---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index 5cf5bf5..e67f315 100644
--- a/.gitignore
+++ b/.gitignore
@@ -43,3 +43,6 @@ docs/_build/
 
 # Sphinx autosummary folder
 docs/api/_autosummary/
+
+# Powerpoint checkpoints
+*~$*

From b806b18453542e6b8e17af9298f900d3c28bf39c Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 16:18:06 +0100
Subject: [PATCH 44/51] Update logo and landing page

---
 docs/index.rst                      |  40 +++++++++++-----------------
 docs/logo/logo-with-name/Slide1.png | Bin 0 -> 72931 bytes
 docs/logo/logo.pptx                 | Bin 0 -> 588023 bytes
 docs/{ => logo}/logo_ChatGPT.png    | Bin
 4 files changed, 16 insertions(+), 24 deletions(-)
 create mode 100644 docs/logo/logo-with-name/Slide1.png
 create mode 100644 docs/logo/logo.pptx
 rename docs/{ => logo}/logo_ChatGPT.png (100%)

diff --git a/docs/index.rst b/docs/index.rst
index 57536c9..f7dfd1f 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -11,36 +11,25 @@
     api/index
     examples/index
 
-=========
-HuracanPy
-=========
+.. image:: logo/logo-with-name/Slide1.png
+  :width: 800
+  :alt: HuracanPy logo, a yellow and blue python spiralling as a cyclone.
 
-A python package for working with various forms of feature tracking data, including but not restricted to cyclone tracks.
+*A python package for working with various forms of feature tracking data, including but not restricted to cyclone tracks.*
 
 **Why HuracanPy?**
-The idea of this package is to provide a common tool for working with cyclone track data. 
+The idea of this package is to provide a unified tool for working with cyclone track data. 
 In particular, HuracanPy can read tracks from many different sources/trackers. 
 It also provides useful functions to analyse these tracks, including many common diagnostics.
 Our goal is to make track data analysis more accessible, and to promote good reproducibility practices.
 
 
-**Need to know about HuracanPy:**
+**Getting started?** Head to the User Guide below! Do not forget:
 
 * This package is distributed under the `MIT licence <https://github.com/Huracan-project/huracanpy/blob/master/LICENSE>`_. 
 
 * A JOSS paper is currently being prepared. We ask that you cite it in published papers using HuracanPy. This help us get credit for the work we put in the development, and also to track how the package is used. 
 
-* Please watch the GitHub repository to get information about HuracanPy. 
-
-**Contact:**
-Please use GitHub's functions to communicate with HuracanPy's developers. In particular, use `Issues <https://github.com/Huracan-project/huracanpy/issues>`_ for feature requests or bug reporting; and use the `Dicussions <https://github.com/Huracan-project/huracanpy/discussions>`_ for Q&A and general feedback. Do not forget HuracanPy is an open-source project, and you can also contribute to it. 
-
-**Acknowledgments:**
-HuracanPy's development is currently supported by the `Huracán NERC-NSF project <https://research.reading.ac.uk/huracan/about-huracan/project-overview/>`_.
-You can find a list of HuracanPy's contributors `here <https://github.com/Huracan-project/huracanpy/graphs/contributors>`_.
-
-**Getting started?** Head to the User Guide below!
-
 .. grid:: 1 2 2 2
     :gutter: 2
 
@@ -51,8 +40,7 @@ You can find a list of HuracanPy's contributors `here <https://github.com/Huraca
 
         **User Guide**
 
-        The user guide provides in-depth information on how to use HuracanPy, including how to install the package and get started. 
-        This is where to look for general conceptual descriptions on how to use parts of HuracanPy.
+        Tutorial pages on how to use HuracanPy, including how to install the package and get started. 
 
     .. grid-item-card:: :octicon:`list-unordered;10em`
         :link: api/index
@@ -62,7 +50,6 @@ You can find a list of HuracanPy's contributors `here <https://github.com/Huraca
         **Reference Guide**
 
         The reference guide contains detailed descriptions on HuracanPy's functions. 
-        This is where to turn to understand how to use a particular feature or check out existing options and keyword names.
 
     .. grid-item-card:: :octicon:`terminal;10em`
         :link: dev_guide/index
@@ -72,9 +59,6 @@ You can find a list of HuracanPy's contributors `here <https://github.com/Huraca
         **Contributor's Guide**
 
         Want to help make HuracanPy better? 
-        Is there a function you need missing? 
-        Found something that's not working quite right? 
-        Got a cool example you want to share?
         You can find instructions on how to contribute to HuracanPy here. 
 
     .. grid-item-card:: :octicon:`graph;10em`
@@ -84,5 +68,13 @@ You can find a list of HuracanPy's contributors `here <https://github.com/Huraca
 
         **Example Gallery**
 
-        Check out HuracanPy's gallery of examples which contains sample code demonstrating various parts of HuracanPy's functionality.
+        Check out examples with code demonstrating various parts of HuracanPy's functionality.
+
+**Contact:**
+Please use GitHub's functions to communicate with HuracanPy's developers. In particular, use `Issues <https://github.com/Huracan-project/huracanpy/issues>`_ for feature requests or bug reporting; and use the `Dicussions <https://github.com/Huracan-project/huracanpy/discussions>`_ for Q&A and general feedback. Do not forget HuracanPy is an open-source project, and you can also contribute to it. 
+
+Please watch the GitHub repository to get information about HuracanPy. 
 
+**Acknowledgments:**
+HuracanPy's development is currently supported by the `Huracán NERC-NSF project <https://research.reading.ac.uk/huracan/about-huracan/project-overview/>`_.
+You can find a list of HuracanPy's contributors `here <https://github.com/Huracan-project/huracanpy/graphs/contributors>`_.
diff --git a/docs/logo/logo-with-name/Slide1.png b/docs/logo/logo-with-name/Slide1.png
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diff --git a/docs/logo_ChatGPT.png b/docs/logo/logo_ChatGPT.png
similarity index 100%
rename from docs/logo_ChatGPT.png
rename to docs/logo/logo_ChatGPT.png

From 7d23832605e5f2a672a9c652584b3f04820dd6ea Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 16:20:54 +0100
Subject: [PATCH 45/51] Move logo to images

---
 docs/images/logo/.DS_Store                      | Bin 0 -> 6148 bytes
 docs/images/logo/logo-with-name.png             | Bin 0 -> 97362 bytes
 .../{ => images}/logo/logo-with-name/Slide1.png | Bin
 docs/{ => images}/logo/logo.pptx                | Bin
 docs/{ => images}/logo/logo_ChatGPT.png         | Bin
 docs/index.rst                                  |   2 +-
 6 files changed, 1 insertion(+), 1 deletion(-)
 create mode 100644 docs/images/logo/.DS_Store
 create mode 100644 docs/images/logo/logo-with-name.png
 rename docs/{ => images}/logo/logo-with-name/Slide1.png (100%)
 rename docs/{ => images}/logo/logo.pptx (100%)
 rename docs/{ => images}/logo/logo_ChatGPT.png (100%)

diff --git a/docs/images/logo/.DS_Store b/docs/images/logo/.DS_Store
new file mode 100644
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z$89-RwD`s3BaSefQ{LCsD((mY3smHmV$QddI5BiICJ05Kp|i$qm@uQBvOrMCe`YgN
zMnI9kATYc~5IK~*;&(?ypA%_8KQ9-xQcL(&P7}8!SIHodno<d{XQ<Je!(ZA&wzDKR
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zEy@iP#u}s)N4Q$?<iiV4#-`do8Ra<~Coi68IM;BQ{Uu5<_#bv5gs87SY$_kiX>N6G
z={EyWDA3R=#St|$UdTF9nyJXXxXFd;C8?;dSjno{65lnJ7IWdV{^-jX`5J6-u9Pw-
z7H6;Su9gBA%+v!-r~<}WUM&Ff$Bpa-!AE2sQ@d3nEK^=70{IMDa)$t(l|JTwIIB%O
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HcmV?d00001

diff --git a/docs/logo/logo-with-name/Slide1.png b/docs/images/logo/logo-with-name/Slide1.png
similarity index 100%
rename from docs/logo/logo-with-name/Slide1.png
rename to docs/images/logo/logo-with-name/Slide1.png
diff --git a/docs/logo/logo.pptx b/docs/images/logo/logo.pptx
similarity index 100%
rename from docs/logo/logo.pptx
rename to docs/images/logo/logo.pptx
diff --git a/docs/logo/logo_ChatGPT.png b/docs/images/logo/logo_ChatGPT.png
similarity index 100%
rename from docs/logo/logo_ChatGPT.png
rename to docs/images/logo/logo_ChatGPT.png
diff --git a/docs/index.rst b/docs/index.rst
index f7dfd1f..b42a39f 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -11,7 +11,7 @@
     api/index
     examples/index
 
-.. image:: logo/logo-with-name/Slide1.png
+.. image:: images/logo/logo-with-name/Slide1.png
   :width: 800
   :alt: HuracanPy logo, a yellow and blue python spiralling as a cyclone.
 

From c1fa1ba5c55c94c6801513f7618019a1ffba6b5f Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 16:26:01 +0100
Subject: [PATCH 46/51] Replace upper left handle with logo

---
 docs/conf.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/docs/conf.py b/docs/conf.py
index 87caac6..60d35a3 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -56,6 +56,9 @@
 html_theme_options = {
     "github_url": "https://github.com/Huracan-project/huracanpy",
     "show_toc_level": 3,
+    "logo_only": True,
+    "display_version": False,
 }
 html_static_path = ["_static"]
+html_logo = "images/logo/logo-with-name/Slide1.png"
 html_css_files = ["css/custom.css"]

From 8fcd15acd55b2c3a6dec1f8e4b830700e1d2b16b Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 16:39:44 +0100
Subject: [PATCH 47/51] Update User guide

---
 docs/user_guide/demo.ipynb    | 11 ++++++++++-
 docs/user_guide/index.rst     | 37 ++---------------------------------
 docs/user_guide/structure.rst | 25 +++++++++++++++++++++++
 3 files changed, 37 insertions(+), 36 deletions(-)
 create mode 100644 docs/user_guide/structure.rst

diff --git a/docs/user_guide/demo.ipynb b/docs/user_guide/demo.ipynb
index 8852b00..0b26dbd 100644
--- a/docs/user_guide/demo.ipynb
+++ b/docs/user_guide/demo.ipynb
@@ -5,9 +5,18 @@
    "id": "d373c1cc-f372-4076-a9a0-df6654063333",
    "metadata": {},
    "source": [
+<<<<<<< HEAD
     "# Example Workflows\n",
+=======
+    "# Getting started with HuracanPy\n",
+    "\n",
+    "**NB: Our package is thought as an extension to xarray. It loads tracks as xarray objects, and relies heavily on its syntax.\n",
+    "For this reason, we recommend you get familiar with xarray if you are not already ([xarray tutorial](https://tutorial.xarray.dev/intro.html)).**\n",
+    "\n",
+>>>>>>> 79b3800 (Update User guide)
     "In this notebook, we demonstrate the type of analysis workflow you can build using HuracanPy. To know more about the available options and functions, please go through the [huracanpy.load guide](index.rst), and/or browse the [API documentation](../api/index.rst). The [example gallery](../examples/index.rst) gallery also provides useful demonstrations.\n",
     "We show three workflows: \n",
+    "\n",
     "1. Studying a specific cyclone\n",
     "2. Studying a set of tracks\n",
     "3. Comparing a set of detected/modelled tracks to an observationnal reference"
@@ -812,7 +821,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst
index e3f587e..e29ca25 100644
--- a/docs/user_guide/index.rst
+++ b/docs/user_guide/index.rst
@@ -2,50 +2,17 @@
 User Guide
 ==========
 
-Pre-requisites
---------------
-
-xarray
-~~~~~~
-
-Our package is designed to load track data as xarray objects. 
-We recommend you get familiar with xarray to make the most of this package (https://tutorial.xarray.dev/intro.html). 
-
-
-Package structure
------------------
-
-The package has several modules that allow you to:
-
-* Load  and save cyclone tracks;
-* Subset and interpolate the tracks;
-* Add information to your tracks (:ref:`api-info`);
-* Compute standard diagnostic metrics (:ref:`api-calc`);
-* Make simple plots (:ref:`api-plot`);
-* Compare several datasets between them (:ref:`api-assess`).
-
-It also module containing TC-specific functions (:ref:`api-tc`). 
-
-The flowchart below illustrates this structure. The functions in each module are listed in the :ref:`api-index`.
-
-.. image:: ../images/package_structure_flowchart/flowchart.png
-  :width: 1000
-  :alt: Alternative text
-
-xarray accessor
-~~~~~~~~~~~~~~~
-
-The package also defines a `.hrcn` xarray accessor, which allow you to call most of the functions as methods on the dataset itself. 
+This User Guide is here to help you use HuracanPy, by providing explanations about the most important aspacts of the packages. 
 
 
 .. toctree::
     :maxdepth: 4
     :hidden:
 
-    self
     install
     quickstart
     demo
+    structure
     load
     save
     subset
diff --git a/docs/user_guide/structure.rst b/docs/user_guide/structure.rst
new file mode 100644
index 0000000..54377c2
--- /dev/null
+++ b/docs/user_guide/structure.rst
@@ -0,0 +1,25 @@
+Package structure
+=================
+
+The package has several modules that allow you to:
+
+* Load  and save cyclone tracks;
+* Subset and interpolate the tracks;
+* Add information to your tracks (:ref:`api-info`);
+* Compute standard diagnostic metrics (:ref:`api-calc`);
+* Make simple plots (:ref:`api-plot`);
+* Compare several datasets between them (:ref:`api-assess`).
+
+It also module containing TC-specific functions (:ref:`api-tc`). 
+
+The flowchart below illustrates this structure. The functions in each module are listed in the :ref:`api-index`.
+
+.. image:: ../images/package_structure_flowchart/flowchart.png
+  :width: 1000
+  :alt: Alternative text
+
+
+xarray accessor
+~~~~~~~~~~~~~~~
+
+The package also defines a `.hrcn` xarray accessor, which allow you to call most of the functions as methods on the dataset itself. 

From 134c7b665d99e2bae728068762d0a50d77b9521f Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 17:08:43 +0100
Subject: [PATCH 48/51] Reupload demo.ipynb

---
 docs/user_guide/demo.ipynb | 23 +++++++----------------
 1 file changed, 7 insertions(+), 16 deletions(-)

diff --git a/docs/user_guide/demo.ipynb b/docs/user_guide/demo.ipynb
index 0b26dbd..7f5daeb 100644
--- a/docs/user_guide/demo.ipynb
+++ b/docs/user_guide/demo.ipynb
@@ -5,18 +5,9 @@
    "id": "d373c1cc-f372-4076-a9a0-df6654063333",
    "metadata": {},
    "source": [
-<<<<<<< HEAD
-    "# Example Workflows\n",
-=======
     "# Getting started with HuracanPy\n",
-    "\n",
-    "**NB: Our package is thought as an extension to xarray. It loads tracks as xarray objects, and relies heavily on its syntax.\n",
-    "For this reason, we recommend you get familiar with xarray if you are not already ([xarray tutorial](https://tutorial.xarray.dev/intro.html)).**\n",
-    "\n",
->>>>>>> 79b3800 (Update User guide)
     "In this notebook, we demonstrate the type of analysis workflow you can build using HuracanPy. To know more about the available options and functions, please go through the [huracanpy.load guide](index.rst), and/or browse the [API documentation](../api/index.rst). The [example gallery](../examples/index.rst) gallery also provides useful demonstrations.\n",
     "We show three workflows: \n",
-    "\n",
     "1. Studying a specific cyclone\n",
     "2. Studying a set of tracks\n",
     "3. Comparing a set of detected/modelled tracks to an observationnal reference"
@@ -41,7 +32,7 @@
    "id": "e8ec02c1-fd58-46b6-9211-e3ac1b36a2fd",
    "metadata": {},
    "source": [
-    "## 1. Studying a specific cyclone\n",
+    "## 1. Studying a specific cyclone\n",
     "In this example, we want to study hurricane Wilma (the deepest Atlantic hurricane on record)."
    ]
   },
@@ -92,7 +83,7 @@
    "id": "ee08d4f1-e18f-4820-810d-0005b92f9105",
    "metadata": {},
    "source": [
-    "### 1b. Add category info\n",
+    "### 1b. Add category info\n",
     "You can add the Saffir-Simpson and/or the pressure category of Wilma to the tracks (for full list of available info, see [huracanpy.info](../api/info.rst))."
    ]
   },
@@ -327,7 +318,7 @@
    "id": "13fcb4af-c3f6-4353-b772-630f0fae6852",
    "metadata": {},
    "source": [
-    "### 2b. Adding info to the tracks\n",
+    "### 2b. Adding info to the tracks\n",
     "HuracanPy has several function to add useful information to the tracks (for full list, see [huracanpy.info](../api/info.rst)). Here for example we add basin and SSHS category information."
    ]
   },
@@ -391,7 +382,7 @@
    "id": "b6b5f0ce-3124-43b3-8f3d-38647cba0217",
    "metadata": {},
    "source": [
-    "### 2c. Plotting\n",
+    "### 2c. Plotting\n",
     "HuracanPy embeds basic plotting functions, which are mainly meant for having a preliminary look at your data. In particular here we show how to plot the track points themselves, and track density. You can learn more in the [huracanpy.plot guide](plot.ipynb). The [example gallery](../examples/index.rst)  also displays nice plots made from HuracanPy and the associated scripts.\n",
     "#### Plotting the tracks"
    ]
@@ -483,7 +474,7 @@
    "id": "43219cdb-5e4f-4ce1-9f37-7cd05355d280",
    "metadata": {},
    "source": [
-    "#### Number of cyclones"
+    "#### Number of cyclones"
    ]
   },
   {
@@ -576,7 +567,7 @@
    "id": "82f009c6-8d92-4cdd-8af4-c72752848d07",
    "metadata": {},
    "source": [
-    "#### ACE"
+    "#### ACE"
    ]
   },
   {
@@ -821,7 +812,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,

From ca0e6a05b693936dc4dfa71f3c7b48237157011f Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Mon, 6 Jan 2025 18:41:38 +0100
Subject: [PATCH 49/51] Update documentation

---
 docs/examples/ERA-20C_assessment.ipynb |  2 +-
 docs/examples/beta_drift.ipynb         | 91 +++++---------------------
 docs/examples/index.rst                |  4 +-
 docs/user_guide/demo.ipynb             |  8 ++-
 docs/user_guide/index.rst              |  7 +-
 docs/user_guide/quickstart.ipynb       |  2 +-
 docs/user_guide/structure.rst          | 10 +--
 7 files changed, 35 insertions(+), 89 deletions(-)

diff --git a/docs/examples/ERA-20C_assessment.ipynb b/docs/examples/ERA-20C_assessment.ipynb
index b59a971..a99d47b 100644
--- a/docs/examples/ERA-20C_assessment.ipynb
+++ b/docs/examples/ERA-20C_assessment.ipynb
@@ -5,7 +5,7 @@
    "id": "978b8621-e050-47c3-8e66-807cbac823e6",
    "metadata": {},
    "source": [
-    "# `huracanpy` basic use for assessing storm climatology in a dataset\n",
+    "# Basic use for assessing storm climatology in a dataset\n",
     "Here, we examplify usage of `huracanpy` with the dataset of TC in ERA-20C detected by the TRACK algorithm.\n",
     "This is meant to show an example of workflow. Please refer to specific parts of the documentation to learn about each part (e.g. loading, plotting, etc.) in more detail."
    ]
diff --git a/docs/examples/beta_drift.ipynb b/docs/examples/beta_drift.ipynb
index cd277e0..b8a7d27 100644
--- a/docs/examples/beta_drift.ipynb
+++ b/docs/examples/beta_drift.ipynb
@@ -1,8 +1,16 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2057f600-1c0f-46d9-a906-c5b1d528f210",
+   "metadata": {},
+   "source": [
+    "# Computing Beta drift with HuracanPy"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "30ee360e-751e-4b76-ad94-3903a02f07b8",
    "metadata": {},
    "outputs": [],
@@ -14,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "ffff6a10-35ac-4ef0-9fed-b9c02a6d4f0c",
    "metadata": {},
    "outputs": [],
@@ -24,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "39da5c34-0f37-44e2-87c8-e0c3e0b8d73f",
    "metadata": {},
    "outputs": [],
@@ -36,31 +44,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "8a2f9e07-ac38-45a4-bd65-8a5cf429c221",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Longitude difference')"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Verify result\n",
     "plt.scatter(data.lat-data.feature_9_lat, data.lon - data.feature_9_lon, c = RMW)\n",
@@ -71,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "c2ad0597-2641-444e-9ae9-8ca6424164b6",
    "metadata": {},
    "outputs": [],
@@ -83,31 +70,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "a7576b47-6486-4a67-bdc5-29cef096cfb3",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'radius of maximum wind in km')"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Verify result\n",
     "plt.scatter(data.feature_9, data.RMW, c = data.V_drift,)\n",
@@ -118,31 +84,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "6dc30ab8-fdf2-45f0-bce7-beb27a1d55b5",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'Dot size represents the radius of maximum winds')"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.scatter(data.feature_9, data.V_drift, c = data.theta_drift, s = data.RMW)\n",
     "plt.colorbar(label = \"Drift angle in degrees\")\n",
diff --git a/docs/examples/index.rst b/docs/examples/index.rst
index 0b35284..b1a104b 100644
--- a/docs/examples/index.rst
+++ b/docs/examples/index.rst
@@ -13,4 +13,6 @@ Examples
     track_density
     doughnuts
     utils
-    ERA-20C_assessment
\ No newline at end of file
+    ERA-20C_assessment
+    beta_drift
+    speed
\ No newline at end of file
diff --git a/docs/user_guide/demo.ipynb b/docs/user_guide/demo.ipynb
index 7f5daeb..ddcbb98 100644
--- a/docs/user_guide/demo.ipynb
+++ b/docs/user_guide/demo.ipynb
@@ -5,9 +5,11 @@
    "id": "d373c1cc-f372-4076-a9a0-df6654063333",
    "metadata": {},
    "source": [
-    "# Getting started with HuracanPy\n",
+    "# Example workflows\n",
     "In this notebook, we demonstrate the type of analysis workflow you can build using HuracanPy. To know more about the available options and functions, please go through the [huracanpy.load guide](index.rst), and/or browse the [API documentation](../api/index.rst). The [example gallery](../examples/index.rst) gallery also provides useful demonstrations.\n",
+    "\n",
     "We show three workflows: \n",
+    "\n",
     "1. Studying a specific cyclone\n",
     "2. Studying a set of tracks\n",
     "3. Comparing a set of detected/modelled tracks to an observationnal reference"
@@ -32,7 +34,7 @@
    "id": "e8ec02c1-fd58-46b6-9211-e3ac1b36a2fd",
    "metadata": {},
    "source": [
-    "## 1. Studying a specific cyclone\n",
+    "## 1. Studying a specific cyclone\n",
     "In this example, we want to study hurricane Wilma (the deepest Atlantic hurricane on record)."
    ]
   },
@@ -812,7 +814,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst
index e29ca25..aed401a 100644
--- a/docs/user_guide/index.rst
+++ b/docs/user_guide/index.rst
@@ -2,7 +2,8 @@
 User Guide
 ==========
 
-This User Guide is here to help you use HuracanPy, by providing explanations about the most important aspacts of the packages. 
+This User Guide is here to help you use HuracanPy, by providing explanations about the most important aspects of the packages. 
+We recommend you read through the pages in the provided order if you are starting, but each of them can also be read as standalone for future reference. 
 
 
 .. toctree::
@@ -10,9 +11,11 @@ This User Guide is here to help you use HuracanPy, by providing explanations abo
     :hidden:
 
     install
+    xarray
     quickstart
-    demo
     structure
+    accessor
+    demo
     load
     save
     subset
diff --git a/docs/user_guide/quickstart.ipynb b/docs/user_guide/quickstart.ipynb
index 81efcb9..1d6ae91 100644
--- a/docs/user_guide/quickstart.ipynb
+++ b/docs/user_guide/quickstart.ipynb
@@ -77,7 +77,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/docs/user_guide/structure.rst b/docs/user_guide/structure.rst
index 54377c2..e1c8f4b 100644
--- a/docs/user_guide/structure.rst
+++ b/docs/user_guide/structure.rst
@@ -3,7 +3,7 @@ Package structure
 
 The package has several modules that allow you to:
 
-* Load  and save cyclone tracks;
+* Load and save cyclone tracks;
 * Subset and interpolate the tracks;
 * Add information to your tracks (:ref:`api-info`);
 * Compute standard diagnostic metrics (:ref:`api-calc`);
@@ -16,10 +16,4 @@ The flowchart below illustrates this structure. The functions in each module are
 
 .. image:: ../images/package_structure_flowchart/flowchart.png
   :width: 1000
-  :alt: Alternative text
-
-
-xarray accessor
-~~~~~~~~~~~~~~~
-
-The package also defines a `.hrcn` xarray accessor, which allow you to call most of the functions as methods on the dataset itself. 
+  :alt: Package structure diagram.
\ No newline at end of file

From 0d0d6ddfef7758b703f7089f8970f7203fed6f05 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 9 Jan 2025 10:38:28 +0100
Subject: [PATCH 50/51] Make formatting fixes

---
 docs/examples/ERA-20C_assessment.ipynb | 4 +---
 huracanpy/tc/_size.py                  | 4 ++--
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/docs/examples/ERA-20C_assessment.ipynb b/docs/examples/ERA-20C_assessment.ipynb
index a99d47b..4903ac3 100644
--- a/docs/examples/ERA-20C_assessment.ipynb
+++ b/docs/examples/ERA-20C_assessment.ipynb
@@ -19,10 +19,8 @@
    "source": [
     "import huracanpy\n",
     "\n",
-    "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "import cartopy.crs as ccrs"
+    "import seaborn as sns"
    ]
   },
   {
diff --git a/huracanpy/tc/_size.py b/huracanpy/tc/_size.py
index aff4865..91a678e 100644
--- a/huracanpy/tc/_size.py
+++ b/huracanpy/tc/_size.py
@@ -4,14 +4,14 @@
 
 from haversine import haversine
 import  xarray as xr
-import numpy as np
 
 def radius_of_maximum_wind(lon_slp, lat_slp, lon_wind_max, lat_wind_max):
     
     lon_slp = xr.where(lon_slp > 180, lon_slp - 360, lon_slp)
     lon_wind_max = xr.where(lon_wind_max > 180, lon_wind_max - 360, lon_wind_max)
     
-    f = lambda a, b, c, d: haversine((b, a), (d, c))
+    def f(a, b, c, d): return haversine((b, a), (d, c)) 
+        
     rmw = xr.DataArray(
         [f(lon_slp.isel(record = i,), lat_slp.isel(record = i,), 
              lon_wind_max.isel(record = i,), lat_wind_max.isel(record = i,)) 

From 16c2fd6380285dbdf4746566e190f5d244c83dd5 Mon Sep 17 00:00:00 2001
From: stella-bourdin <stella.bourdin@physics.ox.ac.uk>
Date: Thu, 9 Jan 2025 10:44:30 +0100
Subject: [PATCH 51/51] ruff format

---
 docs/examples/ERA-20C_assessment.ipynb        | 48 +++++++++++--------
 ...t_basin_plot_interannual_variability.ipynb | 28 ++++++-----
 docs/examples/beta_drift.ipynb                | 26 ++++++----
 docs/user_guide/subset.ipynb                  |  1 +
 huracanpy/_data/_load.py                      |  2 +-
 huracanpy/_subset.py                          |  8 ++--
 huracanpy/calc/_density.py                    |  2 +-
 huracanpy/calc/_lifecycle.py                  |  6 +--
 huracanpy/info/_category.py                   |  2 +-
 huracanpy/info/_geography.py                  |  2 +-
 huracanpy/info/_time.py                       |  2 +-
 huracanpy/plot/_density.py                    |  2 +-
 huracanpy/tc/__init__.py                      | 12 +++--
 huracanpy/tc/_beta_drift.py                   | 40 +++++++++-------
 huracanpy/tc/_size.py                         | 37 +++++++++-----
 tests/test_tc/test_beta_drift.py              |  9 ++--
 tests/test_tc/test_size.py                    |  9 ++--
 17 files changed, 143 insertions(+), 93 deletions(-)

diff --git a/docs/examples/ERA-20C_assessment.ipynb b/docs/examples/ERA-20C_assessment.ipynb
index 4903ac3..55783be 100644
--- a/docs/examples/ERA-20C_assessment.ipynb
+++ b/docs/examples/ERA-20C_assessment.ipynb
@@ -39,9 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "data = huracanpy.load(\n",
-    "    huracanpy.example_ERA20C_file\n",
-    ")\n",
+    "data = huracanpy.load(huracanpy.example_ERA20C_file)\n",
     "data.psl.attrs[\"units\"] = \"hPa\"  # Fixing misspelled pressure unit\n",
     "data"
    ]
@@ -64,10 +62,10 @@
    "source": [
     "# Use the accessor's add_ function to add the info you want\n",
     "## SSHS category\n",
-    "data = data.hrcn.add_saffir_simpson_category(wind_name = \"wind_speed_10m\")\n",
+    "data = data.hrcn.add_saffir_simpson_category(wind_name=\"wind_speed_10m\")\n",
     "## Presure category\n",
-    "data = data.hrcn.add_pressure_category(slp_name = \"psl\")\n",
-    "## Season \n",
+    "data = data.hrcn.add_pressure_category(slp_name=\"psl\")\n",
+    "## Season\n",
     "data = data.hrcn.add_season()\n",
     "# More info are available, in particular geographical ones, but we do not need them for this example."
    ]
@@ -99,7 +97,7 @@
    "outputs": [],
    "source": [
     "# Basic plot of the data points\n",
-    "data.hrcn.plot_tracks(intensity_var_name = \"wind_speed_10m\")"
+    "data.hrcn.plot_tracks(intensity_var_name=\"wind_speed_10m\")"
    ]
   },
   {
@@ -119,7 +117,7 @@
    "outputs": [],
    "source": [
     "# Frequency (Number of track per year)\n",
-    "data.track_id.hrcn.nunique() / data.season.hrcn.nunique() \n",
+    "data.track_id.hrcn.nunique() / data.season.hrcn.nunique()\n",
     "# number of unique tracks / number of unique season"
    ]
   },
@@ -143,7 +141,7 @@
    "outputs": [],
    "source": [
     "# ACE per year\n",
-    "data = data.hrcn.add_ace(wind_name = \"wind_speed_10m\")\n",
+    "data = data.hrcn.add_ace(wind_name=\"wind_speed_10m\")\n",
     "data.ace.groupby(data.season).sum().mean()\n",
     "# Get ace for each point, sum by season and average over the seasons\n",
     "# NB: By default, huracanpy computes ACE only for points with wind above 34 knots"
@@ -170,10 +168,12 @@
     "fig, axs = plt.subplots(3, sharex=True)\n",
     "# Frequency\n",
     "# In this case, it is easier to go through a dataframe\n",
-    "data.to_dataframe().groupby(\"season\").track_id.nunique().plot(ax=axs[0]) \n",
+    "data.to_dataframe().groupby(\"season\").track_id.nunique().plot(ax=axs[0])\n",
     "axs[0].set_ylabel(\"Number of tracks\")\n",
     "# TCD\n",
-    "data.groupby(\"season\").apply(lambda s: s.hrcn.get_track_duration().sum()).plot(ax=axs[1])\n",
+    "data.groupby(\"season\").apply(lambda s: s.hrcn.get_track_duration().sum()).plot(\n",
+    "    ax=axs[1]\n",
+    ")\n",
     "axs[1].set_ylabel(\"TC days\")\n",
     "# ACE\n",
     "data.groupby(\"season\").sum().ace.plot(ax=axs[2])\n",
@@ -244,8 +244,12 @@
    "outputs": [],
    "source": [
     "# Compute times from extremum\n",
-    "data[\"time_from_slp_min\"] = data.hrcn.get_time_from_apex(intensity_var_name = \"psl\", stat = \"min\")\n",
-    "data[\"time_from_wind_max\"] = data.hrcn.get_time_from_apex(intensity_var_name = \"wind_speed_10m\",)"
+    "data[\"time_from_slp_min\"] = data.hrcn.get_time_from_apex(\n",
+    "    intensity_var_name=\"psl\", stat=\"min\"\n",
+    ")\n",
+    "data[\"time_from_wind_max\"] = data.hrcn.get_time_from_apex(\n",
+    "    intensity_var_name=\"wind_speed_10m\",\n",
+    ")"
    ]
   },
   {
@@ -279,10 +283,11 @@
    "outputs": [],
    "source": [
     "# Density of all points\n",
-    "d = data.hrcn.get_density(n_seasons = data.season.hrcn.nunique(), bin_size = 5)\n",
-    "huracanpy.plot.density(d, \n",
-    "                      cbar_kwargs=dict(label=\"Number of points per 5x5° box per year\"),\n",
-    "                      )"
+    "d = data.hrcn.get_density(n_seasons=data.season.hrcn.nunique(), bin_size=5)\n",
+    "huracanpy.plot.density(\n",
+    "    d,\n",
+    "    cbar_kwargs=dict(label=\"Number of points per 5x5° box per year\"),\n",
+    ")"
    ]
   },
   {
@@ -293,10 +298,11 @@
    "outputs": [],
    "source": [
     "# Density of all points\n",
-    "d = gen.hrcn.get_density(n_seasons = data.season.hrcn.nunique(), bin_size = 10)\n",
-    "huracanpy.plot.density(d, \n",
-    "                      cbar_kwargs=dict(label=\"Number of genesis per 10x10° box per year\"),\n",
-    "                      )"
+    "d = gen.hrcn.get_density(n_seasons=data.season.hrcn.nunique(), bin_size=10)\n",
+    "huracanpy.plot.density(\n",
+    "    d,\n",
+    "    cbar_kwargs=dict(label=\"Number of genesis per 10x10° box per year\"),\n",
+    ")"
    ]
   }
  ],
diff --git a/docs/examples/Select_basin_plot_interannual_variability.ipynb b/docs/examples/Select_basin_plot_interannual_variability.ipynb
index ff4e65a..9416b0d 100644
--- a/docs/examples/Select_basin_plot_interannual_variability.ipynb
+++ b/docs/examples/Select_basin_plot_interannual_variability.ipynb
@@ -34,7 +34,7 @@
    ],
    "source": [
     "# Load the data. Here: IBTrACS\n",
-    "data = huracanpy.load(source = \"ibtracs\")"
+    "data = huracanpy.load(source=\"ibtracs\")"
    ]
   },
   {
@@ -58,7 +58,7 @@
    "source": [
     "# Select the basin you're interested in (here: North Atlantic -- NATL)\n",
     "## Option 1: Get only the points within this basin\n",
-    "NATL1 = data.where(data.basin == \"NATL\", drop = True)\n",
+    "NATL1 = data.where(data.basin == \"NATL\", drop=True)\n",
     "## Option 2: Select tracks that have at least one point in this basin\n",
     "### 2a : calling hurcanpy\n",
     "NATL2a = huracanpy.trackswhere(data, data.track_id, lambda t: (t.basin == \"NATL\").any())\n",
@@ -93,33 +93,37 @@
    ],
    "source": [
     "# Plot interannual variability\n",
-    "fig, axs = plt.subplots(3, figsize = [15,5], sharex = True)\n",
+    "fig, axs = plt.subplots(3, figsize=[15, 5], sharex=True)\n",
     "\n",
     "## Frequency\n",
-    "gen = huracanpy.calc.gen_vals(NATL1, NATL1.time, NATL1.track_id) # eq. to gen = data.hrcn.get_gen_vals()\n",
+    "gen = huracanpy.calc.gen_vals(\n",
+    "    NATL1, NATL1.time, NATL1.track_id\n",
+    ")  # eq. to gen = data.hrcn.get_gen_vals()\n",
     "freq = gen.groupby(\"season\").count().time\n",
-    "freq.plot(ax = axs[0], label = \"frequency\")\n",
+    "freq.plot(ax=axs[0], label=\"frequency\")\n",
     "\n",
     "## TC days\n",
     "tcd = NATL1.groupby(\"season\").apply(\n",
-    "    lambda s: huracanpy.calc.track_duration(s.time, s.track_id).sum() # eq. to s.hrcn.get_track_duration().sum()\n",
-    "    / 24 # Conversion because track_duration is in h\n",
+    "    lambda s: huracanpy.calc.track_duration(\n",
+    "        s.time, s.track_id\n",
+    "    ).sum()  # eq. to s.hrcn.get_track_duration().sum()\n",
+    "    / 24  # Conversion because track_duration is in h\n",
     ")\n",
-    "tcd.plot(ax = axs[1], label = \"TC days\")\n",
+    "tcd.plot(ax=axs[1], label=\"TC days\")\n",
     "\n",
     "## ACE\n",
     "ace = NATL1.groupby(\"season\").apply(\n",
-    "    lambda s: huracanpy.tc.ace(s.wind).sum()   # eq. to s.hrcn.get_ace().sum() \n",
+    "    lambda s: huracanpy.tc.ace(s.wind).sum()  # eq. to s.hrcn.get_ace().sum()\n",
     ")\n",
-    "ace.plot(ax = axs[2], label = \"ACE\")\n",
+    "ace.plot(ax=axs[2], label=\"ACE\")\n",
     "\n",
     "# Labels\n",
     "axs[0].set_ylabel(\"#TC\")\n",
     "axs[1].set_ylabel(\"TC Days\")\n",
     "axs[2].set_ylabel(\"ACE\")\n",
-    "for ax in axs: \n",
+    "for ax in axs:\n",
     "    ax.set_xlabel(\"\")\n",
-    "    ax.set_xticks(range(1980,2022,5))\n",
+    "    ax.set_xticks(range(1980, 2022, 5))\n",
     "    ax.grid()"
    ]
   },
diff --git a/docs/examples/beta_drift.ipynb b/docs/examples/beta_drift.ipynb
index b8a7d27..9a2e386 100644
--- a/docs/examples/beta_drift.ipynb
+++ b/docs/examples/beta_drift.ipynb
@@ -27,7 +27,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "data = huracanpy.load(huracanpy.example_TRACK_file, source = \"TRACK\")"
+    "data = huracanpy.load(huracanpy.example_TRACK_file, source=\"TRACK\")"
    ]
   },
   {
@@ -38,8 +38,10 @@
    "outputs": [],
    "source": [
     "# 1. Compute Radius of Maximum Wind\n",
-    "RMW = huracanpy.tc.radius_of_maximum_wind(data.lon, data.lat, data.feature_9_lon, data.feature_9_lat)\n",
-    "data = data.assign(RMW = RMW)"
+    "RMW = huracanpy.tc.radius_of_maximum_wind(\n",
+    "    data.lon, data.lat, data.feature_9_lon, data.feature_9_lat\n",
+    ")\n",
+    "data = data.assign(RMW=RMW)"
    ]
   },
   {
@@ -50,8 +52,8 @@
    "outputs": [],
    "source": [
     "# Verify result\n",
-    "plt.scatter(data.lat-data.feature_9_lat, data.lon - data.feature_9_lon, c = RMW)\n",
-    "plt.colorbar(label = \"Radius of maximum wind in km\")\n",
+    "plt.scatter(data.lat - data.feature_9_lat, data.lon - data.feature_9_lon, c=RMW)\n",
+    "plt.colorbar(label=\"Radius of maximum wind in km\")\n",
     "plt.xlabel(\"Latitude difference\")\n",
     "plt.ylabel(\"Longitude difference\")"
    ]
@@ -65,7 +67,7 @@
    "source": [
     "# 2. Compute beta-drift\n",
     "V_drift, theta_drift = huracanpy.tc.beta_drift(data.lat, data.feature_9, data.RMW)\n",
-    "data = data.assign(V_drift = V_drift, theta_drift = theta_drift)"
+    "data = data.assign(V_drift=V_drift, theta_drift=theta_drift)"
    ]
   },
   {
@@ -76,8 +78,12 @@
    "outputs": [],
    "source": [
     "# Verify result\n",
-    "plt.scatter(data.feature_9, data.RMW, c = data.V_drift,)\n",
-    "plt.colorbar(label = \"Beta-drift wind in m/s\")\n",
+    "plt.scatter(\n",
+    "    data.feature_9,\n",
+    "    data.RMW,\n",
+    "    c=data.V_drift,\n",
+    ")\n",
+    "plt.colorbar(label=\"Beta-drift wind in m/s\")\n",
     "plt.xlabel(\"Maximum wind speed in m/s\")\n",
     "plt.ylabel(\"radius of maximum wind in km\")"
    ]
@@ -89,8 +95,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "plt.scatter(data.feature_9, data.V_drift, c = data.theta_drift, s = data.RMW)\n",
-    "plt.colorbar(label = \"Drift angle in degrees\")\n",
+    "plt.scatter(data.feature_9, data.V_drift, c=data.theta_drift, s=data.RMW)\n",
+    "plt.colorbar(label=\"Drift angle in degrees\")\n",
     "plt.xlabel(\"Maximum wind speed in m/s\")\n",
     "plt.ylabel(\"Beta drift wind in m/s\")\n",
     "plt.title(\"Dot size represents the radius of maximum winds\")"
diff --git a/docs/user_guide/subset.ipynb b/docs/user_guide/subset.ipynb
index 7b7f1b0..5320859 100644
--- a/docs/user_guide/subset.ipynb
+++ b/docs/user_guide/subset.ipynb
@@ -16,6 +16,7 @@
    "source": [
     "%xmode Minimal\n",
     "import numpy as np\n",
+    "\n",
     "np.set_printoptions(threshold=5)"
    ]
   },
diff --git a/huracanpy/_data/_load.py b/huracanpy/_data/_load.py
index c63aeb5..e7086e6 100644
--- a/huracanpy/_data/_load.py
+++ b/huracanpy/_data/_load.py
@@ -79,7 +79,7 @@ def load(
 
     units : dict, optional
         A mapping of variable names to units
-        
+
         >>> tracks = huracanpy.load(..., units=dict(vorticity="s**-1", slp="hPa"))
 
     baselon : scalar, optional
diff --git a/huracanpy/_subset.py b/huracanpy/_subset.py
index 6431702..0786d70 100644
--- a/huracanpy/_subset.py
+++ b/huracanpy/_subset.py
@@ -34,15 +34,15 @@ def trackswhere(tracks, track_ids, condition):
     """Subset tracks that verify a condition.
 
     e.g select all tracks that are solely in the Northern hemisphere:
-        
+
     >>> tracks_subset = huracanpy.trackswhere(tracks, tracks.track_id, lambda x: (x.lat > 0).all())
-    
+
     e.g. select all tracks that are category 2 at least once in their lifetime:
-        
+
     >>> track_subset = huracanpy.trackswhere(
         tracks, tracks.track_id, lambda track: track.pressure_category.max() >= 2
         )
-    
+
     Parameters
     ----------
     tracks : xarray.Dataset
diff --git a/huracanpy/calc/_density.py b/huracanpy/calc/_density.py
index 50e2273..1dcfe8d 100644
--- a/huracanpy/calc/_density.py
+++ b/huracanpy/calc/_density.py
@@ -28,7 +28,7 @@ def density(lon, lat, *, method="histogram", bin_size=5, n_seasons=1):
     ------
     NotImplementedError
         If method given is not 'histogram'
-        
+
     Returns
     -------
     xarray.DataArray
diff --git a/huracanpy/calc/_lifecycle.py b/huracanpy/calc/_lifecycle.py
index e135047..16e32bc 100644
--- a/huracanpy/calc/_lifecycle.py
+++ b/huracanpy/calc/_lifecycle.py
@@ -18,8 +18,8 @@ def time_from_genesis(time, track_ids):
     -------
     xarray.DataArray
         The time_from_genesis series.
-        You can append it to your tracks by running 
-        
+        You can append it to your tracks by running
+
         >>> tracks["time_from_genesis"] = time_from_genesis(tracks.time, tracks.track_id)
 
     """
@@ -41,7 +41,7 @@ def time_from_genesis(time, track_ids):
 def time_from_apex(time, track_ids, intensity_var, stat="max"):
     """The time relative to a maxima/minima in a given variable for each individual
     track
-    
+
     >>> time_from_apex(tracks.time, tracks.track_id, tracks.wind, stat="max")
 
     Parameters
diff --git a/huracanpy/info/_category.py b/huracanpy/info/_category.py
index f7a664a..259aa6c 100644
--- a/huracanpy/info/_category.py
+++ b/huracanpy/info/_category.py
@@ -15,7 +15,7 @@
 @preprocess_and_wrap(wrap_like="variable")
 def category(variable, bins, labels=None, variable_units=None):
     """Calculate a generic category from a variable and a set of thresholds
-    
+
     >>> huracanpy.info.category(tracks.wind, bins = [0,10,20,30], labels = [1,2,3])
 
     Parameters
diff --git a/huracanpy/info/_geography.py b/huracanpy/info/_geography.py
index eeea507..91f379b 100644
--- a/huracanpy/info/_geography.py
+++ b/huracanpy/info/_geography.py
@@ -29,7 +29,7 @@ def hemisphere(lat):
     -------
     xarray.DataArray
         The hemisphere series.
-        You can append it to your tracks by running 
+        You can append it to your tracks by running
 
         >>> tracks["hemisphere"] = get_hemisphere(tracks.lat)
     """
diff --git a/huracanpy/info/_time.py b/huracanpy/info/_time.py
index a39a2a2..bbeb1e9 100644
--- a/huracanpy/info/_time.py
+++ b/huracanpy/info/_time.py
@@ -40,7 +40,7 @@ def season(track_id, lat, time, convention="tc-short"):
     lat : xarray.DataArray
     time : xarray.DataArray
     convention : str
-        * 'tc-short' : In the Northern hemisphere, the season is the same as calendar year. 
+        * 'tc-short' : In the Northern hemisphere, the season is the same as calendar year.
         In the southern hemisphere, the season n corresponds to July n-1 to June n
         * 'tc-long' : In the Northern hemisphere, the season is the same as calendar year.
         In the southern hemisphere, the season from July n-1 to June n is named "(n-1)n"
diff --git a/huracanpy/plot/_density.py b/huracanpy/plot/_density.py
index bb1b2bd..9519ae6 100644
--- a/huracanpy/plot/_density.py
+++ b/huracanpy/plot/_density.py
@@ -24,7 +24,7 @@ def density(
     contourf_kws : dict, optional
         Arguments to be passed to :func:`matplotlib.pyplot.contourf`
     subplot_kws : dict, optional
-        Arguments to be passed to :func:`matplotlib.pyplot.subplots`' subplot_kw argument 
+        Arguments to be passed to :func:`matplotlib.pyplot.subplots`' subplot_kw argument
     fig_kws : dict, optional
         Arguments to be passed to :func:`matplotlib.pyplot.subplots`
     cbar_kwargs: dict, optional
diff --git a/huracanpy/tc/__init__.py b/huracanpy/tc/__init__.py
index f974933..df2fe21 100644
--- a/huracanpy/tc/__init__.py
+++ b/huracanpy/tc/__init__.py
@@ -1,9 +1,15 @@
 """Tropical Cyclone specific calculations"""
 
-__all__ = ["ace", "pace", "saffir_simpson_category", "pressure_category",
-           "radius_of_maximum_wind", "beta_drift"]
+__all__ = [
+    "ace",
+    "pace",
+    "saffir_simpson_category",
+    "pressure_category",
+    "radius_of_maximum_wind",
+    "beta_drift",
+]
 
 from ._ace import ace, pace
 from ._category import saffir_simpson_category, pressure_category
 from ._size import radius_of_maximum_wind
-from ._beta_drift import beta_drift
\ No newline at end of file
+from ._beta_drift import beta_drift
diff --git a/huracanpy/tc/_beta_drift.py b/huracanpy/tc/_beta_drift.py
index 65c1732..8cd4de7 100644
--- a/huracanpy/tc/_beta_drift.py
+++ b/huracanpy/tc/_beta_drift.py
@@ -1,6 +1,11 @@
 import numpy as np
 
-def beta_drift(lat, wind_max, radius_wind_max,):
+
+def beta_drift(
+    lat,
+    wind_max,
+    radius_wind_max,
+):
     """
     Based on Smith, 1993: https://journals.ametsoc.org/view/journals/atsc/50/18/1520-0469_1993_050_3213_ahbdl_2_0_co_2.xml?tab_body=pdf
 
@@ -21,26 +26,27 @@ def beta_drift(lat, wind_max, radius_wind_max,):
         DESCRIPTION.
 
     """
-    
+
     # Treat input
     ## Convert lat to rad
-    if lat.max() > np.pi: # We assume lats are in degrees if they exceed pi
+    if lat.max() > np.pi:  # We assume lats are in degrees if they exceed pi
         lat = lat / 180 * np.pi
     ## Convert rmw to m
-    if radius_wind_max.max() < 10000: # We assume rmw are in km if they are below 10,000
-        radius_wind_max = radius_wind_max*1000
-    
+    if (
+        radius_wind_max.max() < 10000
+    ):  # We assume rmw are in km if they are below 10,000
+        radius_wind_max = radius_wind_max * 1000
+
     # Coriolis parameters
-    Omega = 7.2921e-5 #rad/s Rotation rate of the Earth
-    a = 6.378e6 #m Mean radius of the Earth
-    beta = 2 * Omega * np.cos(lat) / a #s-1 m-1
-    
+    Omega = 7.2921e-5  # rad/s Rotation rate of the Earth
+    a = 6.378e6  # m Mean radius of the Earth
+    beta = 2 * Omega * np.cos(lat) / a  # s-1 m-1
+
     # Beta-drift parameters
-    V_char = (radius_wind_max ** 2) * beta # m/s
-    B = V_char / wind_max               # non-dimensionnal
-    V_drift_adim =0.72*B**(-0.54)       # non-dmensionnal
-    V_drift = V_drift_adim*V_char       # m/s 
-    theta_drift = 308 - 9.6 * np.log(B) # degrees
-    
-    return V_drift, theta_drift
+    V_char = (radius_wind_max**2) * beta  # m/s
+    B = V_char / wind_max  # non-dimensionnal
+    V_drift_adim = 0.72 * B ** (-0.54)  # non-dmensionnal
+    V_drift = V_drift_adim * V_char  # m/s
+    theta_drift = 308 - 9.6 * np.log(B)  # degrees
 
+    return V_drift, theta_drift
diff --git a/huracanpy/tc/_size.py b/huracanpy/tc/_size.py
index 91a678e..1f63f1d 100644
--- a/huracanpy/tc/_size.py
+++ b/huracanpy/tc/_size.py
@@ -3,20 +3,35 @@
 """
 
 from haversine import haversine
-import  xarray as xr
+import xarray as xr
+
 
 def radius_of_maximum_wind(lon_slp, lat_slp, lon_wind_max, lat_wind_max):
-    
     lon_slp = xr.where(lon_slp > 180, lon_slp - 360, lon_slp)
     lon_wind_max = xr.where(lon_wind_max > 180, lon_wind_max - 360, lon_wind_max)
-    
-    def f(a, b, c, d): return haversine((b, a), (d, c)) 
-        
+
+    def f(a, b, c, d):
+        return haversine((b, a), (d, c))
+
     rmw = xr.DataArray(
-        [f(lon_slp.isel(record = i,), lat_slp.isel(record = i,), 
-             lon_wind_max.isel(record = i,), lat_wind_max.isel(record = i,)) 
-           for i in range(len(lon_slp.record))],
-        dims = lon_slp.dims)
-    
-    return rmw
+        [
+            f(
+                lon_slp.isel(
+                    record=i,
+                ),
+                lat_slp.isel(
+                    record=i,
+                ),
+                lon_wind_max.isel(
+                    record=i,
+                ),
+                lat_wind_max.isel(
+                    record=i,
+                ),
+            )
+            for i in range(len(lon_slp.record))
+        ],
+        dims=lon_slp.dims,
+    )
 
+    return rmw
diff --git a/tests/test_tc/test_beta_drift.py b/tests/test_tc/test_beta_drift.py
index 9006190..bca0a38 100644
--- a/tests/test_tc/test_beta_drift.py
+++ b/tests/test_tc/test_beta_drift.py
@@ -2,9 +2,12 @@
 
 import huracanpy
 
+
 def test_radius_of_maximum_wind():
-    data = huracanpy.load(huracanpy.example_TRACK_file, source = "TRACK")
-    RMW = huracanpy.tc.radius_of_maximum_wind(data.lon, data.lat, data.feature_9_lon, data.feature_9_lat)
+    data = huracanpy.load(huracanpy.example_TRACK_file, source="TRACK")
+    RMW = huracanpy.tc.radius_of_maximum_wind(
+        data.lon, data.lat, data.feature_9_lon, data.feature_9_lat
+    )
     V_drift, theta_drift = huracanpy.tc.beta_drift(data.lat, data.feature_9, RMW)
     np.testing.assert_almost_equal(V_drift.mean(), 4.50333266)
-    np.testing.assert_almost_equal(theta_drift.mean(), 330.38964024)
\ No newline at end of file
+    np.testing.assert_almost_equal(theta_drift.mean(), 330.38964024)
diff --git a/tests/test_tc/test_size.py b/tests/test_tc/test_size.py
index 1a05310..fc15167 100644
--- a/tests/test_tc/test_size.py
+++ b/tests/test_tc/test_size.py
@@ -2,9 +2,12 @@
 
 import huracanpy
 
+
 def test_radius_of_maximum_wind():
-    data = huracanpy.load(huracanpy.example_TRACK_file, source = "TRACK")
-    RMW = huracanpy.tc.radius_of_maximum_wind(data.lon, data.lat, data.feature_9_lon, data.feature_9_lat)
+    data = huracanpy.load(huracanpy.example_TRACK_file, source="TRACK")
+    RMW = huracanpy.tc.radius_of_maximum_wind(
+        data.lon, data.lat, data.feature_9_lon, data.feature_9_lat
+    )
     np.testing.assert_almost_equal(RMW.max(), 666.74927689)
     np.testing.assert_almost_equal(RMW.min(), 25.21889771)
-    np.testing.assert_almost_equal(RMW.mean(), 356.36039091)
\ No newline at end of file
+    np.testing.assert_almost_equal(RMW.mean(), 356.36039091)